43 citations · 225 across the 49 of their papers we have counts for
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cs.LG2021★ 3 cited
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Hao Chen, Shaocheng Huang, Deyou Zhang +3
To leverage massive distributed data and computation resources, machine learning in the network edge is considered to be a promising technique especially for large-scale model trai…
cs.LG2021★ 1 cited
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
Wanlu Lei, Yu Ye, Ming Xiao +2
Edge computing provides a promising paradigm to support the implementation of Industrial Internet of Things (IIoT) by offloading tasks to nearby edge nodes. Meanwhile, the increasi…