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20232025
most citedConvergence Analysis of Split Federated Learning on Heterogeneous Data

1 citations · 2 across the 6 of their papers we have counts for

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cs.LG2024

SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning

Xinyang Liu, Pengchao Han, Xuan Li +1

Decentralized federated learning (DFL) realizes cooperative model training among connected clients without relying on a central server, thereby mitigating communication bottlenecks…

cs.DC2024★ 1 cited

Convergence Analysis of Split Federated Learning on Heterogeneous Data

Pengchao Han, Chao Huang, Geng Tian +2

Split federated learning (SFL) is a recent distributed approach for collaborative model training among multiple clients. In SFL, a global model is typically split into two parts, w…