2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data
Hao Sun, Li Shen, Shixiang Chen +4
Federated learning is an emerging distributed machine learning method, enables a large number of clients to train a model without exchanging their local data. The time cost of comm…
physics.geo-ph2023★ 2 cited
Boundary-to-Solution Mapping for Groundwater Flows in a Toth Basin
Jingwei Sun, Jun Li, Yonghong Hao +7
In this paper, the authors propose a new approach to solving the groundwater flow equation in the Toth basin of arbitrary top and bottom topographies using deep learning. Instead o…