activity
20192026
most citedUnderstanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

26 citations · 52 across the 26 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.IT2021

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning

Hang Liu, Zehong Lin, Xiaojun Yuan +1

Federated edge learning (FEEL) has emerged as a revolutionary paradigm to develop AI services at the edge of 6G wireless networks as it supports collaborative model training at a m…

cs.IT2021★ 4 cited

Relay-Assisted Cooperative Federated Learning

Zehong Lin, Hang Liu, Ying-Jun Angela Zhang

Federated learning (FL) has recently emerged as a promising technology to enable artificial intelligence (AI) at the network edge, where distributed mobile devices collaboratively…