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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.

Data and Resources

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

Additional Info

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