35 citations · 37 across the 6 of their papers we have counts for
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cs.LG2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach
Bin Wang, Jun Fang, Hongbin Li +1
Federated learning (FL) is a machine learning paradigm that targets model training without gathering the local data dispersed over various data sources. Standard FL, which employs…
cs.LG2022★ 35 cited
Confederated Learning: Federated Learning with Decentralized Edge Servers
Bin Wang, Jun Fang, Hongbin Li +2
Federated learning (FL) is an emerging machine learning paradigm that allows to accomplish model training without aggregating data at a central server. Most studies on FL consider…