Communication-efficient distributed optimization in networks with gradient tracking and variance reduction B Li, S Cen, Y Chen, Y Chi The Journal of Machine Learning Research 21 (1), 7331-7381, 2020 | 134* | 2020 |
Nonparametric density estimation under adversarial losses S Singh, A Uppal, B Li, CL Li, M Zaheer, B Póczos Advances in Neural Information Processing Systems 31, 2018 | 88 | 2018 |
Predictive state recurrent neural networks C Downey, A Hefny, B Boots, GJ Gordon, B Li Advances in Neural Information Processing Systems 30, 2017 | 59 | 2017 |
BEER: Fast Rate for Decentralized Nonconvex Optimization with Communication Compression H Zhao, B Li, Z Li, P Richtárik, Y Chi Advances in Neural Information Processing Systems 35, 31653-31667, 2022 | 42 | 2022 |
SoteriaFL: A unified framework for private federated learning with communication compression Z Li, H Zhao, B Li, Y Chi Advances in Neural Information Processing Systems 35, 4285-4300, 2022 | 37 | 2022 |
A large collection of real-world pediatric sleep studies H Lee, B Li, S DeForte, ML Splaingard, Y Huang, Y Chi, SL Linwood Scientific Data 9 (1), 1-12, 2022 | 31 | 2022 |
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization B Li, Z Li, Y Chi SIAM Journal on Mathematics of Data Science 4 (3), 1031-1051, 2022 | 22 | 2022 |
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression B Li, Y Chi arXiv preprint arXiv:2305.09896, 2023 | 6 | 2023 |
Extraction meets abstraction: ideal answer generation for biomedical questions Y Li, N Gekakis, Q Wu, B Li, K Chandu, E Nyberg Proceedings of the 6th BioASQ Workshop A challenge on large-scale biomedical …, 2018 | 5 | 2018 |
Communication-Efficient Optimization Algorithms for Decentralized Machine Learning B Li Carnegie Mellon University, 2023 | | 2023 |
Harvesting Curvatures for Communication-Efficient Distributed Optimization D Cardoso, B Li, Y Chi, J Xavier 2022 56th Asilomar Conference on Signals, Systems, and Computers, 749-753, 2022 | | 2022 |
GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization R Xin, B Li, S Kar, UA Khan 2020 59th IEEE Conference on Decision and Control (CDC), 3637-3642, 2020 | | 2020 |