26 citations · 56 across the 14 of their papers we have counts for
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cs.NI2021
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients
Yuchang Sun, Jiawei Shao, Yuyi Mao +1
Federated edge learning (FEEL) has drawn much attention as a privacy-preserving distributed learning framework for mobile edge networks. In this work, we investigate a novel semi-d…
cs.LG2021★ 2 cited
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity
Yuchang Sun, Jiawei Shao, Yuyi Mao +2
Federated edge learning (FEEL) has attracted much attention as a privacy-preserving paradigm to effectively incorporate the distributed data at the network edge for training deep l…
cs.NI2021★ 3 cited
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
Yuchang Sun, Jiawei Shao, Yuyi Mao +2
Federated edge learning (FEEL) has emerged as an effective approach to reduce the large communication latency in Cloud-based machine learning solutions, while preserving data priva…