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Blockchain-Enabled Federated Learning With Mechanism Design

Federated learning (FL) is a promising decentralized deep learning technique that allows users to collaboratively update models without sharing their own data. However, due to its decentralized nature, no one can monitor workers' behavior, and they may thus deviate protocols (e.g., participating wit...

詳細記述

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書誌詳細
主要な著者: Kentaroh Toyoda, Jun Zhao, Allan Neng Sheng Zhang, P. Takis Mathiopoulos
フォーマット: Artigo
言語:Inglês
出版事項: IEEE 2020-01-01
シリーズ:IEEE Access
主題:
オンライン・アクセス:https://ieeexplore.ieee.org/document/9285269/
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