31 citations · 66 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 17 cited
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
Peichun Li, Xumin Huang, Miao Pan +1
Federated learning (FL) enables devices in mobile edge computing (MEC) to collaboratively train a shared model without uploading the local data. Gradient compression may be applied…
cs.LG2021
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices
Pavana Prakash, Jiahao Ding, Maoqiang Wu +3
Federated learning (FL), an emerging distributed machine learning paradigm, in conflux with edge computing is a promising area with novel applications over mobile edge devices. In…