Ali Anwar - RankMe

119 papers A* 5A 14B 17C 2Misc 1Journal 49Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ProToken: Token-Level Attribution for Federated Large Language Models. CoRR Waris Gill, Ahmad Humayun, Ali Anwar, Muhammad Ali Gulzar
2025	—	`conf`	AID: Adaptive Integration of Detectors for Safe AI with Language Models. NAACL (Long Papers) Xinran Wang, Enmao Diao, Qi Le, Jie Ding, Ali Anwar
2025	—	`conf`	Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling. EMNLP (Findings) Seyyed Saeid Cheshmi, Azal Ahmad Khan, Xinran Wang, Zirui Liu, Ali Anwar
2025	J	`jnl`	Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling. CoRR Seyyed Saeid Cheshmi, Azal Ahmad Khan, Xinran Wang, Zirui Liu, Ali Anwar
2025	—	`conf`	FLStore: Efficient Federated Learning Storage for non-training workloads. MLSys Ahmad Faraz Khan, Samuel Fountain, Ahmed M. Abdelmoniem, Ali Raza Butt, Ali Anwar
2025	J	`jnl`	FLStore: Efficient Federated Learning Storage for non-training workloads. CoRR Ahmad Faraz Khan, Samuel Fountain, Ahmed M. Abdelmoniem, Ali Raza Butt, Ali Anwar
2025	—	`conf`	HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning. TPS-ISA Jiaxang Tang, Zeshan Fayyaz, Mohammad A. Salahuddin, Raouf Boutaba, Zhi-Li Zhang, Ali Anwar
2025	A	`conf`	IP-FL: Incentive-Driven Personalization in Federated Learning. IPDPS Ahmad Faraz Khan, Xinran Wang, Qi Le, Zain ul Abdeen, Azal Ahmad Khan, Haider Ali, Ming Jin, Jie Ding, Ali Raza Butt, Ali Anwar
2025	J	`jnl`	LADs: Leveraging LLMs for AI-Driven DevOps. CoRR Ahmad Faraz Khan, Azal Ahmad Khan, Anas Mohamed, Haider Ali, Suchithra Moolinti, Sabaat Haroon, Usman Tahir, Mattia Fazzini, Ali Raza Butt, Ali Anwar
2025	A*	`conf`	MAP: Multi-Human-Value Alignment Palette. ICLR Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar
2025	A	`conf`	MeanCache: User-Centric Semantic Caching for LLM Web Services. IPDPS Waris Gill, Mohamed Elidrisi, Pallavi Kalapatapu, Ammar Ahmed, Ali Anwar, Muhammad Ali Gulzar
2025	A*	`conf`	Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing. ICLR Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar
2025	J	`jnl`	Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing. CoRR Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar
2025	J	`jnl`	Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts. CoRR Ammar Ahmed, Azal Ahmad Khan, Ayaan Ahmad, Sheng Di, Zirui Liu, Ali Anwar
2025	A	`conf`	Safety Aware Task Planning via Large Language Models in Robotics. IROS Azal Ahmad Khan, Michael Andrev, Muhammad Ali Murtaza, Sergio Aguilera, Rui Zhang, Jie Ding, Seth Hutchinson, Ali Anwar
2025	J	`jnl`	Safety Aware Task Planning via Large Language Models in Robotics. CoRR Azal Ahmad Khan, Michael Andrev, Muhammad Ali Murtaza, Sergio Aguilera, Rui Zhang, Jie Ding, Seth Hutchinson, Ali Anwar
2025	J	`jnl`	Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering. CoRR Anas Mohamed, Azal Ahmad Khan, Xinran Wang, Ahmad Faraz Khan, Shuwen Ge, Saman Bahzad Khan, Ayaan Ahmad, Ali Anwar
2025	J	`jnl`	Systematic Evaluation of Optimization Techniques for Long-Context Language Models. CoRR Ammar Ahmed, Sheng Di, Franck Cappello, Zirui Liu, Jingoo Han, Ali Anwar
2025	A*	`conf`	TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance. ICSE Waris Gill, Ali Anwar, Muhammad Ali Gulzar
2024	J	`jnl`	An End-to-end High-performance Deduplication Scheme for Docker Registries and Docker Container Storage Systems. ACM Trans. Storage Nannan Zhao, Muhui Lin, Hadeel Albahar, Arnab K. Paul, Zhijie Huan, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Ali Anwar, Ali Raza Butt
2024	J	`jnl`	ColA: Collaborative Adaptation with Gradient Learning. CoRR Enmao Diao, Qi Le, Suya Wu, Xinran Wang, Ali Anwar, Jie Ding, Vahid Tarokh
2024	B	`conf`	DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. IEEE Big Data Qi Le, Enmao Diao, Xinran Wang, Ahmad Faraz Khan, Vahid Tarokh, Jie Ding, Ali Anwar
2024	J	`jnl`	DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. CoRR Qi Le, Enmao Diao, Xinran Wang, Vahid Tarokh, Jie Ding, Ali Anwar
2024	J	`jnl`	Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. CoRR Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
2024	J	`jnl`	Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. Proc. VLDB Endow. Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
2024	A	`conf`	FLOAT: Federated Learning Optimizations with Automated Tuning. EuroSys Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Raza Butt, Ali Anwar
2024	J	`jnl`	HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning. CoRR Jiaxang Tang, Zeshan Fayyaz, Mohammad A. Salahuddin, Raouf Boutaba, Zhi-Li Zhang, Ali Anwar
2024	B	`conf`	ICL: An Incentivized Collaborative Learning Framework. IEEE Big Data Xinran Wang, Qi Le, Ahmad Faraz Khan, Jie Ding, Ali Anwar
2024	J	`jnl`	MAP: Multi-Human-Value Alignment Palette. CoRR Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar
2024	B	`conf`	Mitigating Sycophancy in Large Language Models via Direct Preference Optimization. IEEE Big Data Azal Ahmad Khan, Sayan Alam, Xinran Wang, Ahmad Faraz Khan, Debanga Raj Neog, Ali Anwar
2024	B	`conf`	Personalized Federated Learning Techniques: Empirical Analysis. IEEE Big Data Azal Ahmad Khan, Ahmad Faraz Khan, Haider Ali, Ali Anwar
2024	J	`jnl`	Personalized Federated Learning Techniques: Empirical Analysis. CoRR Azal Ahmad Khan, Ahmad Faraz Khan, Haider Ali, Ali Anwar
2024	J	`jnl`	Privacy-Aware Semantic Cache for Large Language Models. CoRR Waris Gill, Mohamed Elidrisi, Pallavi Kalapatapu, Ali Anwar, Muhammad Ali Gulzar
2024	J	`jnl`	Towards Scalable Quantum Networks. CoRR Connor Howe, Mohsin Aziz, Ali Anwar
2024	J	`jnl`	Towards a Decentralized Collaborative Framework for Scalable Edge AI. Future Internet Ahmed M. Abdelmoniem, Mona Jaber, Ali Anwar, Yuchao Zhang, Mingliang Gao
2023	J	`jnl`	A Framework for Incentivized Collaborative Learning. CoRR Xinran Wang, Qi Le, Ahmad Faraz Khan, Jie Ding, Ali Anwar
2023	Misc	`conf`	F3: Serving Files Efficiently in Serverless Computing. SYSTOR Alex Merenstein, Vasily Tarasov, Ali Anwar, Scott Guthridge, Erez Zadok
2023	A*	`conf`	FedDebug: Systematic Debugging for Federated Learning Applications. ICSE Waris Gill, Ali Anwar, Muhammad Ali Gulzar
2023	J	`jnl`	FedDebug: Systematic Debugging for Federated Learning Applications. CoRR Waris Gill, Ali Anwar, Muhammad Ali Gulzar
2023	—	`conf`	FedDefender: Backdoor Attack Defense in Federated Learning. SE4SafeML@SIGSOFT FSE Waris Gill, Ali Anwar, Muhammad Ali Gulzar
2023	J	`jnl`	FedDefender: Backdoor Attack Defense in Federated Learning. CoRR Waris Gill, Ali Anwar, Muhammad Ali Gulzar
2023	B	`conf`	HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan
2023	B	`conf`	Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
2023	J	`jnl`	InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng
2023	J	`jnl`	PI-FL: Personalized and Incentivized Federated Learning. CoRR Ahmad Faraz Khan, Xinran Wang, Qi Le, Azal Ahmad Khan, Haider Ali, Jie Ding, Ali Raza Butt, Ali Anwar
2023	—	`ed.`	Proceedings of the 15th ACM/USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage 2023, Boston, MA, USA, 9 July 2023 HotStorage Ali Anwar, Ningfang Mi, Vasily Tarasov, Yiying Zhang
2023	J	`jnl`	ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning. CoRR Waris Gill, Ali Anwar, Muhammad Ali Gulzar
2023	B	`conf`	Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. IEEE Big Data Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar
2022	J	`jnl`	A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems. CoRR Ahmad Khan, Yuze Li, Ali Anwar, Yue Cheng, Thang Hoang, Nathalie Baracaldo, Ali Raza Butt
2022	B	`conf`	DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. CLOUD Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig
2022	J	`jnl`	DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. CoRR Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig
2022	—	`ch.`	Dealing with Byzantine Threats to Neural Networks. Federated Learning Yi Zhou, Nathalie Baracaldo, Ali Anwar, Kamala Varma
2022	B	`conf`	Heterogeneity-Aware Adaptive Federated Learning Scheduling. IEEE Big Data Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
2022	—	`ed.`	HotStorage '22: 14th ACM Workshop on Hot Topics in Storage and File Systems, Virtual Event, June 27 - 28, 2022 HotStorage Ali Anwar, Dimitris Skourtis, Sudarsun Kannan, Xiaosong Ma
2022	—	`ch.`	Introduction to Federated Learning Systems. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	—	`ch.`	Local Training and Scalability of Federated Learning Systems. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	—	`conf`	Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. IEEECONF Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding
2022	J	`jnl`	Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. CoRR Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding
2022	—	`ch.`	Privacy-Preserving Vertical Federated Learning. Federated Learning Runhua Xu, Nathalie Baracaldo, Yi Zhou, Annie Abay, Ali Anwar
2022	A	`conf`	SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari
2022	J	`jnl`	Sion: Elastic Serverless Cloud Storage. CoRR Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2022	—	`ch.`	Straggler Management. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	—	`ch.`	Systems Bias in Federated Learning. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	B	`conf`	TIFF: Tokenized Incentive for Federated Learning. CLOUD Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
2022	J	`jnl`	Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach. CoRR Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger
2021	—	`conf`	Accountable Federated Machine Learning in Government: Engineering and Management Insights. ePart Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Mathieu Sinn, Mark Purcell, Bashar Altakrouri
2021	J	`jnl`	Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
2021	A	`conf`	CNSBench: A Cloud Native Storage Benchmark. FAST Alex Merenstein, Vasily Tarasov, Ali Anwar, Deepavali Bhagwat, Julie Lee, Lukas Rupprecht, Dimitris Skourtis, Yang Yang, Erez Zadok
2021	A*	`conf`	Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
2021	J	`jnl`	Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. CoRR Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
2021	A	`conf`	FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. SC Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
2021	—	`conf`	FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. AISec@CCS Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
2021	J	`jnl`	FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. CoRR Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
2021	B	`conf`	LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. CLOUD Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
2021	J	`jnl`	LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. CoRR Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
2021	J	`jnl`	Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems. IEEE Trans. Parallel Distributed Syst. Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Arnab Kumar Paul, Keren Chen, Ali Raza Butt
2021	J	`jnl`	SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari
2020	J	`jnl`	Customizable Scale-Out Key-Value Stores. IEEE Trans. Parallel Distributed Syst. Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt
2020	—	`conf`	DupHunter: Flexible High-Performance Deduplication for Docker Registries. USENIX ATC Nannan Zhao, Hadeel Albahar, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Lukas Rupprecht, Ali Anwar, Ali Raza Butt
2020	J	`jnl`	IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
2020	A	`conf`	InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. FAST Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2020	J	`jnl`	InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. CoRR Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2020	—	`conf`	Position: Can Microservices Drive a Renaissance in Workload-Aware Storage Management? HotStorage Pranav Bhandari, Avani Wildani, Dimitris Skourtis, Vasily Tarasov, Deepavali Bhagwat, Lukas Rupprecht, Ali Anwar
2020	—	`conf`	The Case for Benchmarking Control Operations in Cloud Native Storage. HotStorage Alex Merenstein, Vasily Tarasov, Ali Anwar, Deepavali Bhagwat, Lukas Rupprecht, Dimitris Skourtis, Erez Zadok
2020	A	`conf`	TiFL: A Tier-based Federated Learning System. HPDC Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2020	J	`jnl`	TiFL: A Tier-based Federated Learning System. CoRR Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2020	J	`jnl`	Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing. CoRR Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
2020	—	`conf`	Wukong: a scalable and locality-enhanced framework for serverless parallel computing. SoCC Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
2019	J	`jnl`	A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract). Inform. Spektrum Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
2019	—	`conf`	A Hybrid Approach to Privacy-Preserving Federated Learning. AISec@CCS Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou
2019	B	`conf`	Bolt: Towards a Scalable Docker Registry via Hyperconvergence. CLOUD Michael Littley, Ali Anwar, Hannan Fayyaz, Zeshan Fayyaz, Vasily Tarasov, Lukas Rupprecht, Dimitrios Skourtis, Mohamed Mohamed, Heiko Ludwig, Yue Cheng, Ali Raza Butt
2019	J	`jnl`	Challenges in Storing Docker Images. login Usenix Mag. Ali Anwar, Lukas Rupprecht, Dimitris Skourtis, Vasily Tarasov
2019	—	`conf`	HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. AISec@CCS Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig
2019	J	`jnl`	HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. CoRR Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig
2019	C	`conf`	Large-Scale Analysis of the Docker Hub Dataset. CLUSTER Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit S. Warke, Mohamed Mohamed, Ali Raza Butt
2019	J	`jnl`	MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design. IEEE Trans. Parallel Distributed Syst. Kirk W. Cameron, Ali Anwar, Yue Cheng, Li Xu, Bo Li, Uday Ananth, Jon Bernard, Chandler Jearls, Thomas Lux, Yili Hong, Layne T. Watson, Ali Raza Butt
2019	B	`conf`	Slimmer: Weight Loss Secrets for Docker Registries. CLOUD Nannan Zhao, Vasily Tarasov, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit Warke, Mohamed Mohamed, Ali Raza Butt
2019	J	`jnl`	Towards Federated Graph Learning for Collaborative Financial Crimes Detection. CoRR Toyotaro Suzumura, Yi Zhou, Nathalie Barcardo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran
2019	—	`conf`	Towards Taming the Resource and Data Heterogeneity in Federated Learning. OpML Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng
2019	—	`conf`	Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios. IOT Tim D'Hondt, Anna Wilbik, Paul Grefen, Heiko Ludwig, Nathalie Baracaldo, Ali Anwar
2018	J	`jnl`	A Hybrid Approach to Privacy-Preserving Federated Learning. CoRR Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang
2018	—	`conf`	Analyzing Alibaba's Co-located Datacenter Workloads. IEEE BigData Yue Cheng, Ali Anwar, Xuejing Duan
2018	A	`conf`	Chameleon: An Adaptive Wear Balancer for Flash Clusters. IPDPS Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali Raza Butt
2018	—	`conf`	Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. APSys Yue Cheng, Zheng Chai, Ali Anwar
2018	J	`jnl`	Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. CoRR Yue Cheng, Zheng Chai, Ali Anwar
2018	A	`conf`	Improving Docker Registry Design Based on Production Workload Analysis. FAST Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley, Lukas Rupprecht, Yue Cheng, Nannan Zhao, Dimitris Skourtis, Amit Warke, Heiko Ludwig, Dean Hildebrand, Ali Raza Butt
2018	—	`—`	Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning. Ali Anwar
2018	A	`conf`	bespoKV: application tailored scale-out key-value stores. SC Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt
2016	—	`conf`	ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes. HotStorage Ali Anwar, Yue Cheng, Hai Huang, Ali Raza Butt
2016	A	`conf`	MOS: Workload-aware Elasticity for Cloud Object Stores. HPDC Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt
2016	—	`conf`	Towards Managing Variability in the Cloud. IPDPS Workshops Ali Anwar, Yue Cheng, Ali Raza Butt
2015	A	`conf`	AnalyzeThis: an analysis workflow-aware storage system. SC Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Raza Butt, Lavanya Ramakrishnan
2015	—	`conf`	Anatomy of Cloud Monitoring and Metering: A case study and open problems. APSys Ali Anwar, Anca Sailer, Andrzej Kochut, Ali Raza Butt
2015	B	`conf`	Cost-Aware Cloud Metering with Scalable Service Management Infrastructure. CLOUD Ali Anwar, Anca Sailer, Andrzej Kochut, Charles O. Schulz, Alla Segal, Ali Raza Butt
2015	B	`conf`	Scalable Metering for an Affordable IT Cloud Service Management. IC2E Ali Anwar, Anca Sailer, Andrzej Kochut, Charles O. Schulz, Alla Segal, Ali Raza Butt
2015	—	`conf`	Taming the cloud object storage with MOS. PDSW@SC Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt
2014	C	`conf`	On the use of microservers in supporting hadoop applications. CLUSTER Ali Anwar, Krish K. R., Ali Raza Butt
2014	B	`conf`	[phi]Sched: A Heterogeneity-Aware Hadoop Workflow Scheduler. MASCOTS Krish K. R., Ali Anwar, Ali Raza Butt
2014	B	`conf`	hatS: A Heterogeneity-Aware Tiered Storage for Hadoop. CCGRID Krish K. R., Ali Anwar, Ali Raza Butt