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2020

GFL: A Decentralized Federated Learning Framework Based On Blockchain

Hu, Yifan, Zhou, Yuhang, Xiao, Jun et al.

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Federated learning(FL) is a rapidly growing field and many centralized and decentralized FL frameworks have been proposed.

However, it is of great challenge for current FL frameworks to improve communication performance and maintain the security and robustness under malicious node attacks.
In this paper, we propose Galaxy Federated Learning Framework(GFL), a decentralized FL framework based on blockchain.
GFL introduces the consistent hashing algorithm to improve communication performance and proposes a novel ring decentralized FL algorithm(RDFL) to improve decentralized FL performance and bandwidth utilization.

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