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cs.LG2025
Communication-Efficient Neural Tangent Kernels for Heterogeneous Decentralized Federated Learning
Li Xia
Decentralized federated learning (DFL) enables collaborative model training without a central server, but converges slowly under statistical heterogeneity. Recent work has shown th…
cs.LG2025★ 1 cited
One-shot Federated Learning Methods: A Practical Guide
Xiang Liu, Zhenheng Tang, Xia Li +6
One-shot Federated Learning (OFL) is a distributed machine learning paradigm that constrains client-server communication to a single round, addressing privacy and communication ove…