Sunwoo Lee - RankMe

46 papers A* 3A 2B 2C 3Misc 3Journal 27Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation. AAAI Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee
2026	J	`jnl`	Multi-Metric Client Activation Method for Fast and Accurate Federated Learning. ACM Trans. Intell. Syst. Technol. Jihyun Lim, Tuo Zhang, Sunwoo Lee
2025	J	`jnl`	Asynchronous Sharpness-Aware Minimization For Fast and Accurate Deep Learning. CoRR Junhyuk Jo, Jihyun Lim, Sunwoo Lee
2025	J	`jnl`	Biased Local SGD for Efficient Deep Learning on Heterogeneous Systems. CoRR Jihyun Lim, Junhyuk Jo, Chanhyeok Ko, Young Min Go, Jimin Hwa, Sunwoo Lee
2025	A	`conf`	Enabling Weak Client Participation via On-Device Knowledge Distillation in Heterogeneous Federated Learning. ECAI Jihyun Lim, Junhyuk Jo, Tuo Zhang, Sunwoo Lee
2025	J	`jnl`	Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning. CoRR Jihyun Lim, Junhyuk Jo, Tuo Zhang, Salman Avestimehr, Sunwoo Lee
2025	J	`jnl`	GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation. CoRR Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee
2025	—	`conf`	GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. CVPR Workshops Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
2025	J	`jnl`	Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning. CoRR Jisoo Kim, Sungmin Kang, Sunwoo Lee
2025	J	`jnl`	Multi-Resolution Model Fusion for Accelerating the Convolutional Neural Network Training. CoRR Kewei Wang, Claire Songhyun Lee, Sunwoo Lee, Vishu Gupta, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-keng Liao
2024	J	`jnl`	Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. CoRR Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr
2024	J	`jnl`	Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. IEEE Trans. Mob. Comput. Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr
2024	A*	`conf`	Layer-Wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning. KDD Sunwoo Lee
2023	J	`jnl`	Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment. Neural Networks Sunwoo Lee, Chaoyang He, Salman Avestimehr
2023	Misc	`conf`	FedAudio: A Federated Learning Benchmark for Audio Tasks. ICASSP Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
2023	J	`jnl`	FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training. CoRR Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He
2023	A*	`conf`	Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning. AAAI Sunwoo Lee, Tuo Zhang, Amir Salman Avestimehr
2023	J	`jnl`	Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients. Trans. Mach. Learn. Res. Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr
2023	J	`jnl`	Partial model averaging in Federated Learning: Performance guarantees and benefits. Neurocomputing Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr
2023	—	`conf`	TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CVPR Workshops Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr
2023	J	`jnl`	TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CoRR Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr
2023	J	`jnl`	mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization. CoRR Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization. Trans. Mach. Learn. Res. Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2022	J	`jnl`	A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. CoRR Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2022	J	`jnl`	A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Comput. Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James B. Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2022	J	`jnl`	FedAudio: A Federated Learning Benchmark for Audio Tasks. CoRR Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
2022	J	`jnl`	Federated Learning of Large Models at the Edge via Principal Sub-Model Training. CoRR Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr
2022	J	`jnl`	Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency. J. Parallel Distributed Comput. Sunwoo Lee, Qiao Kang, Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2022	J	`jnl`	Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits. CoRR Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr
2022	B	`conf`	Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. CCGRID Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-keng Liao
2021	Misc	`conf`	Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. HiPC Sunwoo Lee, Qiao Kang, Kewei Wang, Jan Balewski, Alex Sim, Ankit Agrawal, Alok N. Choudhary, Peter Nugent, Kesheng Wu, Wei-keng Liao
2021	J	`jnl`	In situ compression artifact removal in scientific data using deep transfer learning and experience replay. Mach. Learn. Sci. Technol. Sandeep Madireddy, Ji Hwan Park, Sunwoo Lee, Prasanna Balaprakash, Shinjae Yoo, Wei-keng Liao, Cory D. Hauck, M. Paul Laiu, Richard Archibald
2021	J	`jnl`	Layer-wise Adaptive Model Aggregation for Scalable Federated Learning. CoRR Sunwoo Lee, Tuo Zhang, Chaoyang He, Salman Avestimehr
2021	C	`conf`	SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network. ICPRAM Reda Al-Bahrani, Dipendra Jha, Qiao Kang, Sunwoo Lee, Zijiang Yang, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary
2021	J	`jnl`	SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision. CoRR Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2021	—	`conf`	Supporting Data Compression in PnetCDF. IEEE BigData Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2020	—	`conf`	Communication-Efficient Local Stochastic Gradient Descent for Scalable Deep Learning. IEEE BigData Sunwoo Lee, Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2020	J	`jnl`	Improving MPI Collective I/O for High Volume Non-Contiguous Requests With Intra-Node Aggregation. IEEE Trans. Parallel Distributed Syst. Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2020	A	`conf`	Improving all-to-many personalized communication in two-phase I/O. SC Qiao Kang, Robert B. Ross, Robert Latham, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2020	B	`conf`	Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. CCGRID Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu
2019	J	`jnl`	Improving MPI Collective I/O Performance With Intra-node Request Aggregation. CoRR Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2019	—	`conf`	Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time. IEEE BigData Sunwoo Lee, Qiao Kang, Sandeep Madireddy, Prasanna Balaprakash, Ankit Agrawal, Alok N. Choudhary, Richard Archibald, Wei-keng Liao
2017	Misc	`conf`	Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication. HiPC Sunwoo Lee, Dipendra Jha, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
2016	—	`conf`	Evaluation of K-means data clustering algorithm on Intel Xeon Phi. IEEE BigData Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Nikos Hardavellas, Alok N. Choudhary
2016	C	`conf`	Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication. ISC Diana Palsetia, William Hendrix, Sunwoo Lee, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2009	C	`conf`	Extending Component-Based Approaches for Multithreaded Design of Multiprocessor Embedded Software. ISORC Sunwoo Lee, Byung Kwan Jung, Minsoo Ryu, Seungwon Lee