DeceFL: A Principled Decentralized Federated Learning Framework

DeceFL is a decentralized federated learning algorithm that eliminates the need for a central server and maintains convergence property.

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Cite this as

Ye Yuan, Ruijuan Chen, Maolin Wang, Chuan Sun, Lei Xu, Feng Hua, Xin He, Xinlei Yi, Tao Yang, Hai-Tao Zhang, Shaochun Sui, Han Ding (2024). Dataset: DeceFL: A Principled Decentralized Federated Learning Framework. https://doi.org/10.57702/a2u2rvqs

DOI retrieved: December 16, 2024

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Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2107.07171
Author Ye Yuan
More Authors
Ruijuan Chen
Maolin Wang
Chuan Sun
Lei Xu
Feng Hua
Xin He
Xinlei Yi
Tao Yang
Hai-Tao Zhang
Shaochun Sui
Han Ding