17 citations · 19 across the 4 of their papers we have counts for
Showing 2021 · cs.LGShow all
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cs.LG2021★ 1 cited
Federated Ensemble Model-based Reinforcement Learning in Edge Computing
Jin Wang, Jia Hu, Jed Mills +2
Federated learning (FL) is a privacy-preserving distributed machine learning paradigm that enables collaborative training among geographically distributed and heterogeneous devices…
cs.LG2021★ 1 cited
Accelerating Federated Learning with a Global Biased Optimiser
Jed Mills, Jia Hu, Geyong Min +3
Federated Learning (FL) is a recent development in distributed machine learning that collaboratively trains models without training data leaving client devices, preserving data pri…