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20232026
most citedClustered Data Sharing for Non-IID Federated Learning over Wireless Networks

7 citations · 7 across the 5 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.LG2024

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization

Yunrui Sun, Gang Hu, Yinglei Teng +1

Split Learning (SL) is a promising collaborative machine learning approach, enabling resource-constrained devices to train models without sharing raw data, while reducing computati…

cs.LG2024

Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach

Gang Hu, Yinglei Teng, Nan Wang +1

Federated Edge Learning (FEEL) emerges as a pioneering distributed machine learning paradigm for the 6G Hyper-Connectivity, harnessing data from the Internet of Things (IoT) device…