Gauri Joshi - RankMe

178 papers A* 16A 10B 10Misc 9Journal 117Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations. CoRR Baris Askin, Shivam Patel, Anupam Nayak, Andrea Vigano, Jiin Woo, Gauri Joshi, Carlee Joe-Wong
2026	J	`jnl`	LOCUS: Low-Dimensional Model Embeddings for Efficient Model Exploration, Comparison, and Selection. CoRR Shivam Patel, William Cocke, Gauri Joshi
2026	J	`jnl`	MELINOE: Fine-Tuning Enables Memory-Efficient Inference for Mixture-of-Experts Models. CoRR Arian Raje, Anupam Nayak, Gauri Joshi
2026	J	`jnl`	Natural Policy Gradient for Average Reward Non-Stationary Reinforcement Learning. Trans. Mach. Learn. Res. Neharika Jali, Eshika Pathak, Pranay Sharma, Guannan Qu, Gauri Joshi
2026	J	`jnl`	Sample Complexity of Average-Reward Q-Learning: From Single-agent to Federated Reinforcement Learning. CoRR Yuchen Jiao, Jiin Woo, Gen Li, Gauri Joshi, Yuejie Chi
2025	J	`jnl`	Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games. CoRR Anupam Nayak, Tong Yang, Osman Yagan, Gauri Joshi, Yuejie Chi
2025	J	`jnl`	Adaptive Federated Learning via Dynamical System Model. CoRR Aayushya Agarwal, Larry T. Pileggi, Gauri Joshi
2025	A*	`conf`	Debiasing Federated Learning with Correlated Client Participation. ICLR Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei
2025	A*	`conf`	FedECADO: A Dynamical System Model of Federated Learning. ICML Aayushya Agarwal, Gauri Joshi, Lawrence T. Pileggi
2025	J	`jnl`	FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA. CoRR Divyansh Jhunjhunwala, Arian Raje, Madan Ravi Ganesh, Chaithanya Kumar Mummadi, Chaoqun Dong, Jiawei Zhou, Wan-Yi Lin, Gauri Joshi, Zhenzhen Li
2025	A	`conf`	Federated Communication-Efficient Multi-Objective Optimization. AISTATS Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong
2025	A	`conf`	High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise. AISTATS Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2025	J	`jnl`	Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning. CoRR Divyansh Jhunjhunwala, Pranay Sharma, Zheng Xu, Gauri Joshi
2025	J	`jnl`	Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning. Trans. Mach. Learn. Res. Divyansh Jhunjhunwala, Pranay Sharma, Zheng Xu, Gauri Joshi
2025	J	`jnl`	Job assignment in machine learning inference systems with accuracy constraints. Perform. Evaluation Tuhinangshu Choudhury, Gauri Joshi, Weina Wang
2025	J	`jnl`	Language Model Planning from an Information Theoretic Perspective. CoRR Muhammed Ustaomeroglu, Baris Askin, Gauri Joshi, Carlee Joe-Wong, Guannan Qu
2025	J	`jnl`	Natural Policy Gradient for Average Reward Non-Stationary RL. CoRR Neharika Jali, Eshika Pathak, Pranay Sharma, Guannan Qu, Gauri Joshi
2025	J	`jnl`	Navigating the Accuracy-Size Trade-Off with Flexible Model Merging. CoRR Akash Balasaheb Dhasade, Divyansh Jhunjhunwala, Milos Vujasinovic, Gauri Joshi, Anne-Marie Kermarrec
2025	J	`jnl`	ProxRouter: Proximity-Weighted LLM Query Routing for Improved Robustness to Outliers. CoRR Shivam Patel, Neharika Jali, Ankur Mallick, Gauri Joshi
2025	J	`jnl`	Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning. CoRR Arian Raje, Baris Askin, Divyansh Jhunjhunwala, Gauri Joshi
2025	J	`jnl`	Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning. CoRR Baris Askin, Holger R. Roth, Zhenyu Sun, Carlee Joe-Wong, Gauri Joshi, Ziyue Xu
2025	J	`jnl`	The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond. J. Mach. Learn. Res. Jiin Woo, Gauri Joshi, Yuejie Chi
2025	J	`jnl`	The Cost of Shuffling in Private Gradient Based Optimization. CoRR Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu, Gauri Joshi
2024	J	`jnl`	Debiasing Federated Learning with Correlated Client Participation. CoRR Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei
2024	A	`conf`	Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. AISTATS Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi
2024	J	`jnl`	Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. CoRR Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi
2024	B	`conf`	Erasure Coded Neural Network Inference via Fisher Averaging. ISIT Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang
2024	J	`jnl`	Erasure Coded Neural Network Inference via Fisher Averaging. CoRR Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang
2024	A	`conf`	FedAST: Federated Asynchronous Simultaneous Training. UAI Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi
2024	J	`jnl`	FedAST: Federated Asynchronous Simultaneous Training. CoRR Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi
2024	J	`jnl`	FedECADO: A Dynamical System Model of Federated Learning. CoRR Aayushya Agarwal, Gauri Joshi, Lawrence T. Pileggi
2024	A	`conf`	FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. AISTATS Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2024	J	`jnl`	FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. CoRR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2024	J	`jnl`	Federated Communication-Efficient Multi-Objective Optimization. CoRR Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong
2024	A*	`conf`	Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. ICML Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi
2024	J	`jnl`	Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. CoRR Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi
2024	A*	`conf`	Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models. EMNLP Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi
2024	J	`jnl`	Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models. CoRR Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi
2024	J	`jnl`	Maximizing Global Model Appeal in Federated Learning. Trans. Mach. Learn. Res. Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi
2024	J	`jnl`	Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees. CoRR Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	Misc	`conf`	On Improved Distributed Random Reshuffling over Networks. ICASSP Pranay Sharma, Jiarui Li, Gauri Joshi
2024	J	`jnl`	On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data. Trans. Mach. Learn. Res. Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang
2024	J	`jnl`	Optimized Tradeoffs for Private Prediction with Majority Ensembling. CoRR Shuli Jiang, Qiuyi Zhang, Gauri Joshi
2024	J	`jnl`	Optimized Tradeoffs for Private Prediction with Majority Ensembling. Trans. Mach. Learn. Res. Shuli Jiang, Qiuyi Zhang, Gauri Joshi
2024	—	`ed.`	Proceedings of the Eighth Conference on Machine Learning and Systems, MLSys 2025, Santa Clara, CA, USA, May 12-15, 2025 MLSys Matei Zaharia, Gauri Joshi, Yingyan (Celine) Lin
2023	J	`jnl`	Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer. IEEE J. Sel. Top. Signal Process. Yae Jee Cho, Jianyu Wang, Tarun Chirvolu, Gauri Joshi
2023	J	`jnl`	Correlated Combinatorial Bandits for Online Resource Allocation. SIGMETRICS Perform. Evaluation Rev. Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
2023	A*	`conf`	Correlation Aware Sparsified Mean Estimation Using Random Projection. NeurIPS Shuli Jiang, Pranay Sharma, Gauri Joshi
2023	J	`jnl`	Correlation Aware Sparsified Mean Estimation Using Random Projection. CoRR Shuli Jiang, Pranay Sharma, Gauri Joshi
2023	A*	`conf`	FedExP: Speeding Up Federated Averaging via Extrapolation. ICLR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2023	J	`jnl`	FedExP: Speeding up Federated Averaging Via Extrapolation. CoRR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2023	A	`conf`	Federated Learning under Distributed Concept Drift. AISTATS Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
2023	J	`jnl`	Federated Minimax Optimization with Client Heterogeneity. CoRR Pranay Sharma, Rohan Panda, Gauri Joshi
2023	J	`jnl`	Federated Minimax Optimization with Client Heterogeneity. Trans. Mach. Learn. Res. Pranay Sharma, Rohan Panda, Gauri Joshi
2023	J	`jnl`	High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise. CoRR Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2023	A*	`conf`	Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. ICCV Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis
2023	J	`jnl`	Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. CoRR Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis
2023	A*	`conf`	On the Convergence of Federated Averaging with Cyclic Client Participation. ICML Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang
2023	J	`jnl`	On the Convergence of Federated Averaging with Cyclic Client Participation. CoRR Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang
2023	J	`jnl`	Tackling Heterogeneous Traffic in Multi-access Systems via Erasure Coded Servers. SIGMETRICS Perform. Evaluation Rev. Tuhinangshu Choudhury, Weina Wang, Gauri Joshi
2023	A*	`conf`	The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond. ICML Jiin Woo, Gauri Joshi, Yuejie Chi
2023	J	`jnl`	The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond. CoRR Jiin Woo, Gauri Joshi, Yuejie Chi
2022	Misc	`conf`	A Dynamic Reweighting Strategy For Fair Federated Learning. ICASSP Zhiyuan Zhao, Gauri Joshi
2022	—	`ch.`	Communication-Efficient Distributed Optimization Algorithms. Federated Learning Gauri Joshi, Shiqiang Wang
2022	B	`conf`	Correlated combinatorial bandits for online resource allocation. MobiHoc Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
2022	J	`jnl`	FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients. CoRR Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank J. Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi
2022	J	`jnl`	FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning. CoRR Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi
2022	J	`jnl`	Federated Learning under Distributed Concept Drift. CoRR Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
2022	A*	`conf`	Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. ICML Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney
2022	J	`jnl`	Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. CoRR Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney
2022	A*	`conf`	Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. ICML Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri
2022	J	`jnl`	Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. CoRR Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri
2022	A	`conf`	Fedvarp: Tackling the variance due to partial client participation in federated learning. UAI Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi
2022	A*	`conf`	Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. IJCAI Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
2022	J	`jnl`	Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. CoRR Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
2022	—	`conf`	Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
2022	J	`jnl`	Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs. IEEE/ACM Trans. Netw. Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, Carlee Joe-Wong
2022	J	`jnl`	Matcha: A Matching-Based Link Scheduling Strategy to Speed up Distributed Optimization. IEEE Trans. Signal Process. Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar
2022	—	`conf`	Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. MLSys Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
2022	—	`conf`	Multi-Model Federated Learning with Provable Guarantees. VALUETOOLS Neelkamal Bhuyan, Sharayu Moharir, Gauri Joshi
2022	J	`jnl`	Multi-Model Federated Learning with Provable Guarantees. CoRR Neelkamal Bhuyan, Sharayu Moharir, Gauri Joshi
2022	J	`jnl`	On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data. CoRR Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang
2022	B	`conf`	Rateless Sum-Recovery Codes For Distributed Non-Linear Computations. ITW Ankur Mallick, Gauri Joshi
2022	J	`jnl`	Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication. Commun. ACM Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi
2022	J	`jnl`	Tackling Heterogeneous Traffic in Multi-access Systems via Erasure Coded Servers. CoRR Tuhinangshu Choudhury, Weina Wang, Gauri Joshi
2022	B	`conf`	Tackling heterogeneous traffic in multi-access systems via erasure coded servers. MobiHoc Tuhinangshu Choudhury, Weina Wang, Gauri Joshi
2022	J	`jnl`	To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning. CoRR Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi
2022	A	`conf`	Towards Understanding Biased Client Selection in Federated Learning. AISTATS Yae Jee Cho, Jianyu Wang, Gauri Joshi
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021	J	`jnl`	A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning. IEEE Trans. Signal Process. Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor
2021	Misc	`conf`	A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. ICASSP Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan
2021	Misc	`conf`	Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. ICASSP Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar
2021	J	`jnl`	Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. CoRR Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2021	J	`jnl`	Best-Arm Identification in Correlated Multi-Armed Bandits. CoRR Samarth Gupta, Gauri Joshi, Osman Yagan
2021	J	`jnl`	Best-Arm Identification in Correlated Multi-Armed Bandits. IEEE J. Sel. Areas Inf. Theory Samarth Gupta, Gauri Joshi, Osman Yagan
2021	J	`jnl`	Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms. J. Mach. Learn. Res. Jianyu Wang, Gauri Joshi
2021	A	`conf`	Deep kernels with probabilistic embeddings for small-data learning. UAI Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
2021	B	`conf`	Job Dispatching Policies for Queueing Systems with Unknown Service Rates. MobiHoc Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai
2021	J	`jnl`	Job Dispatching Policies for Queueing Systems with Unknown Service Rates. CoRR Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai
2021	A*	`conf`	Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. NeurIPS Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi
2021	J	`jnl`	Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. CoRR Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi
2021	J	`jnl`	Local Adaptivity in Federated Learning: Convergence and Consistency. CoRR Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi
2021	J	`jnl`	Multi-Armed Bandits With Correlated Arms. IEEE Trans. Inf. Theory Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan
2021	J	`jnl`	Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer. CoRR Yae Jee Cho, Jianyu Wang, Tarun Chiruvolu, Gauri Joshi
2021	—	`conf`	Rateless Codes for Distributed Non-linear Computations. ISTC Ankur Mallick, Sophie Smith, Gauri Joshi
2021	J	`jnl`	Residential Consumer Understanding of Electricity Bills: The Case of the Indian Consumer. Int. J. Asian Bus. Inf. Manag. Gauri Joshi, Vasundhara Sen
2021	J	`jnl`	Service Rate Region: A New Aspect of Coded Distributed System Design. IEEE Trans. Inf. Theory Mehmet S. Aktas, Gauri Joshi, Swanand Kadhe, Fatemeh Kazemi, Emina Soljanin
2021	J	`jnl`	Slow and Stale Gradients Can Win the Race. IEEE J. Sel. Areas Inf. Theory Sanghamitra Dutta, Jianyu Wang, Gauri Joshi
2021	J	`jnl`	Synergy via Redundancy: Adaptive Replication Strategies and Fundamental Limits. IEEE/ACM Trans. Netw. Gauri Joshi, Dhruva Kaushal
2020	J	`jnl`	A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting. IEEE J. Sel. Areas Inf. Theory Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan
2020	Misc	`conf`	Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning. ACSSC Yae Jee Cho, Samarth Gupta, Gauri Joshi, Osman Yagan
2020	J	`jnl`	Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning. CoRR Yae Jee Cho, Samarth Gupta, Gauri Joshi, Osman Yagan
2020	J	`jnl`	Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies. CoRR Yae Jee Cho, Jianyu Wang, Gauri Joshi
2020	Misc	`conf`	Correlated Multi-Armed Bandits with A Latent Random Source. ICASSP Samarth Gupta, Gauri Joshi, Osman Yagan
2020	Misc	`conf`	Exploring the Error-Runtime Trade-off in Decentralized Optimization. ACSSC Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar
2020	A*	`conf`	Machine Learning on Volatile Instances. INFOCOM Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong
2020	J	`jnl`	Machine Learning on Volatile Instances. CoRR Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong
2020	Misc	`conf`	Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD. ICASSP Jianyu Wang, Hao Liang, Gauri Joshi
2020	J	`jnl`	Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD. CoRR Jianyu Wang, Hao Liang, Gauri Joshi
2020	J	`jnl`	Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning. CoRR Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
2020	—	`conf`	Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. SIGMETRICS (Abstracts) Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi
2020	J	`jnl`	Service Rate Region: A New Aspect of Coded Distributed System Design. CoRR Mehmet S. Aktas, Gauri Joshi, Swanand Kadhe, Fatemeh Kazemi, Emina Soljanin
2020	J	`jnl`	Slow and Stale Gradients Can Win the Race. CoRR Sanghamitra Dutta, Jianyu Wang, Gauri Joshi
2020	J	`jnl`	Synergy via Redundancy: Adaptive Replication Strategies and Fundamental Limits. CoRR Gauri Joshi, Dhruva Kaushal
2020	A*	`conf`	Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization. NeurIPS Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor
2020	J	`jnl`	Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization. CoRR Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor
2019	J	`jnl`	Accelerating Deep Learning by Focusing on the Biggest Losers. CoRR Angela H. Jiang, Daniel L.-K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminsky, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai
2019	—	`conf`	Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD. SysML Jianyu Wang, Gauri Joshi
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2019	J	`jnl`	Deep Probabilistic Kernels for Sample-Efficient Learning. CoRR Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han
2019	J	`jnl`	Efficient Straggler Replication in Large-Scale Parallel Computing. ACM Trans. Model. Perform. Evaluation Comput. Syst. Da Wang, Gauri Joshi, Gregory W. Wornell
2019	Misc	`conf`	Fast and Efficient Distributed Matrix-vector Multiplication Using Rateless Fountain Codes. ICASSP Ankur Mallick, Malhar Chaudhari, Gauri Joshi
2019	—	`conf`	Introduction to ScaDL 2019. IPDPS Workshops Gauri Joshi, Ashish Verma
2019	J	`jnl`	MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling. CoRR Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang, Gauri Joshi, Soummya Kar
2019	J	`jnl`	Multi-Armed Bandits with Correlated Arms. CoRR Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan
2019	B	`conf`	Rateless Codes for Distributed Computations with Sparse Compressed Matrices. ISIT Ankur Mallick, Gauri Joshi
2019	J	`jnl`	Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. Proc. ACM Meas. Anal. Comput. Syst. Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi
2019	J	`jnl`	Service Rate Region of Content Access from Erasure Coded Storage. CoRR Sarah E. Anderson, Ann Johnston, Gauri Joshi, Gretchen L. Matthews, Carolyn Mayer, Emina Soljanin
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2019	J	`jnl`	Whose Decision is it Anyways? The Changing Purchasing Patterns of Indian Families. Int. J. Asian Bus. Inf. Manag. Gauri Joshi, Pratima Amol Sheorey
2018	—	`conf`	Active Distribution Learning from Indirect Samples. Allerton Samarth Gupta, Gauri Joshi, Osman Yagan
2018	J	`jnl`	Active Distribution Learning from Indirect Samples. CoRR Samarth Gupta, Gauri Joshi, Osman Yagan
2018	J	`jnl`	Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD. CoRR Jianyu Wang, Gauri Joshi
2018	J	`jnl`	Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms. CoRR Jianyu Wang, Gauri Joshi
2018	J	`jnl`	Correlated Multi-armed Bandits with a Latent Random Source. CoRR Samarth Gupta, Gauri Joshi, Osman Yagan
2018	J	`jnl`	Exploiting Correlation in Finite-Armed Structured Bandits. CoRR Samarth Gupta, Gauri Joshi, Osman Yagan
2018	J	`jnl`	Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. CoRR Ankur Mallick, Malhar Chaudhari, Gauri Joshi
2018	B	`conf`	Service Rate Region of Content Access from Erasure Coded Storage. ITW Sarah E. Anderson, Ann Johnston, Gauri Joshi, Gretchen L. Matthews, Carolyn Mayer, Emina Soljanin
2018	A	`conf`	Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. AISTATS Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar
2018	J	`jnl`	Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. CoRR Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar
2017	J	`jnl`	Boosting Service Capacity via Adaptive Task Replication. SIGMETRICS Perform. Evaluation Rev. Gauri Joshi
2017	J	`jnl`	Efficient Redundancy Techniques for Latency Reduction in Cloud Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. Gauri Joshi, Emina Soljanin, Gregory W. Wornell
2017	J	`jnl`	On the Service Capacity Region of Accessing Erasure Coded Content. CoRR Mehmet S. Aktas, Sarah E. Anderson, Ann Johnston, Gauri Joshi, Swanand Kadhe, Gretchen L. Matthews, Carolyn Mayer, Emina Soljanin
2017	—	`conf`	On the service capacity region of accessing erasure coded content. Allerton Mehmet S. Aktas, Sarah E. Anderson, Ann Johnston, Gauri Joshi, Swanand Kadhe, Gretchen L. Matthews, Carolyn Mayer, Emina Soljanin
2017	J	`jnl`	Synergy via Redundancy: Boosting Service Capacity with Adaptive Replication. SIGMETRICS Perform. Evaluation Rev. Gauri Joshi
2016	—	`—`	Efficient redundancy techniques to reduce delay in Cloud systems. Gauri Joshi
2016	J	`jnl`	Looking Good and Thinking Green-Can Green Personal Care Products Be Promoted? Int. J. Asian Bus. Inf. Manag. Gauri Joshi, Gurudas Nulkar
2015	J	`jnl`	Efficient Redundancy Techniques for Latency Reduction in Cloud Systems. CoRR Gauri Joshi, Emina Soljanin, Gregory W. Wornell
2015	J	`jnl`	Efficient Replication of Queued Tasks for Latency Reduction in Cloud Systems. CoRR Gauri Joshi, Emina Soljanin, Gregory W. Wornell
2015	—	`conf`	Efficient replication of queued tasks for latency reduction in cloud systems. Allerton Gauri Joshi, Emina Soljanin, Gregory W. Wornell
2015	J	`jnl`	On Throughput-Smoothness Trade-offs in Streaming Communication. CoRR Gauri Joshi, Yuval Kochman, Gregory W. Wornell
2015	B	`conf`	Playback delay in on-demand streaming communication with feedback. ISIT Kaveh Mahdaviani, Ashish Khisti, Gauri Joshi, Gregory W. Wornell
2015	J	`jnl`	Queues with Redundancy: Latency-Cost Analysis. SIGMETRICS Perform. Evaluation Rev. Gauri Joshi, Emina Soljanin, Gregory W. Wornell
2015	J	`jnl`	Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing (Extended Version). CoRR Da Wang, Gauri Joshi, Gregory W. Wornell
2015	J	`jnl`	Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing. SIGMETRICS Perform. Evaluation Rev. Da Wang, Gauri Joshi, Gregory W. Wornell
2014	J	`jnl`	Efficient Task Replication for Fast Response Times in Parallel Computation. CoRR Da Wang, Gauri Joshi, Gregory W. Wornell
2014	A*	`conf`	Efficient task replication for fast response times in parallel computation. SIGMETRICS Da Wang, Gauri Joshi, Gregory W. Wornell
2014	J	`jnl`	On the Delay-Storage Trade-Off in Content Download from Coded Distributed Storage Systems. IEEE J. Sel. Areas Commun. Gauri Joshi, Yanpei Liu, Emina Soljanin
2014	J	`jnl`	The Effect of Block-wise Feedback on the Throughput-Delay Trade-off in Streaming. CoRR Gauri Joshi, Yuval Kochman, Gregory W. Wornell
2014	—	`conf`	The effect of block-wise feedback on the throughput-delay trade-off in streaming. INFOCOM Workshops Gauri Joshi, Yuval Kochman, Gregory W. Wornell
2014	J	`jnl`	Throughput-Smoothness Trade-offs in Multicasting of an Ordered Packet Stream. CoRR Gauri Joshi, Yuval Kochman, Gregory W. Wornell
2014	—	`conf`	Throughput-smoothness trade-offs in multicasting of an ordered packet stream. NetCod Gauri Joshi, Yuval Kochman, Gregory W. Wornell
2013	J	`jnl`	On the Delay-Storage Trade-off in Content Download from Coded Distributed Storage Systems CoRR Gauri Joshi, Yanpei Liu, Emina Soljanin
2013	B	`conf`	Round-robin overlapping generations coding for fast content download. ISIT Gauri Joshi, Emina Soljanin
2012	J	`jnl`	Coding for Fast Content Download CoRR Gauri Joshi, Yanpei Liu, Emina Soljanin
2012	—	`conf`	Coding for fast content download. Allerton Conference Gauri Joshi, Yanpei Liu, Emina Soljanin
2012	B	`conf`	On playback delay in streaming communication. ISIT Gauri Joshi, Yuval Kochman, Gregory W. Wornell