10 citations · 13 across the 6 of their papers we have counts for
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cs.LG2022★ 1 cited
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources
Dongyuan Su, Yipeng Zhou, Laizhong Cui
Recently, federated learning (FL) has received intensive research because of its ability in preserving data privacy for scattered clients to collaboratively train machine learning…
cs.LG2021★ 1 cited
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Yipeng Zhou, Xuezheng Liu, Yao Fu +3
Federated learning (FL) empowers distributed clients to collaboratively train a shared machine learning model through exchanging parameter information. Despite the fact that FL can…
cs.LG2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Laizhong Cui, Xiaoxin Su, Yipeng Zhou +1
Federated Learning (FL) is an emerging decentralized learning framework through which multiple clients can collaboratively train a learning model. However, a major obstacle that im…