Boyue Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Distributed Systems

Gradient Method

Convex Optimization

Brain Tumor Segmentation

Top Venues

SIAM J. Math. Data Sci.

Publications

Shang Wu, Sijing Yang, Boyue Li, Shimin Yin, Jianming Zhu, Shiyong Li, Zhencheng Chen
OdCFU-Net for Brain Tumor Segmentation Based on MRI. CIVEMSA (2024)
Boyue Li, Yuejie Chi
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression. CoRR (2023)
Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression. NeurIPS (2022)
Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. CoRR (2022)
Diogo Cardoso, Boyue Li, Yuejie Chi, João Xavier
Harvesting Curvatures for Communication-Efficient Distributed Optimization. IEEECONF (2022)
Boyue Li, Zhize Li, Yuejie Chi
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization. SIAM J. Math. Data Sci. 4 (3) (2022)
Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. NeurIPS (2022)
Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi
BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression. CoRR (2022)
Boyue Li, Zhize Li, Yuejie Chi
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization. CoRR (2021)
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. J. Mach. Learn. Res. 21 (2020)
Ran Xin, Boyue Li, Soummya Kar, Usman A. Khan
GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization. CDC (2020)
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. AISTATS (2020)
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. CoRR (2019)
Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos
Nonparametric Density Estimation under Adversarial Losses. NeurIPS (2018)
Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos
Nonparametric Density Estimation under Adversarial Losses. CoRR (2018)
Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li
Predictive State Recurrent Neural Networks. NIPS (2017)