13 citations · 32 across the 11 of their papers we have counts for
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cs.LG2021★ 1 cited
Neural Tangent Kernel Empowered Federated Learning
Kai Yue, Richeng Jin, Ryan Pilgrim +3
Federated learning (FL) is a privacy-preserving paradigm where multiple participants jointly solve a machine learning problem without sharing raw data. Unlike traditional distribut…
cs.LG2021★ 1 cited
Federated Learning via Plurality Vote
Kai Yue, Richeng Jin, Chau-Wai Wong +1
Federated learning allows collaborative workers to solve a machine learning problem while preserving data privacy. Recent studies have tackled various challenges in federated learn…
cs.LG2020★ 4 cited
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks
Richeng Jin, Xiaofan He, Huaiyu Dai
In federated learning (FL), reducing the communication overhead is one of the most critical challenges since the parameter server and the mobile devices share the training paramete…