27 citations · 29 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 27 cited
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination
Ming Hu, Zhihao Yue, Xiaofei Xie +6
Although Federated Learning (FL) enables global model training across clients without compromising their raw data, due to the unevenly distributed data among clients, existing Fede…
cs.DC2018★ 2 cited
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
Jilong Xue, Youshan Miao, Cheng Chen +3
Deep learning emerges as an important new resource-intensive workload and has been successfully applied in computer vision, speech, natural language processing, and so on. Distribu…