no code implementations • 6 Dec 2023 • Yuanshi Liu, Hanzhen Zhao, Yang Xu, Pengyun Yue, Cong Fang
In this paper, we open up a new way to design and analyze gradient-based algorithms with direct applications in machine learning, including linear regression and beyond.
no code implementations • 23 Sep 2023 • Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, LiWei Wang, Zhouchen Lin, Song-Chun Zhu
With distributed machine learning being a prominent technique for large-scale machine learning tasks, communication complexity has become a major bottleneck for speeding up training and scaling up machine numbers.