Blockchained On-Device Federated Learning

【Author】 Kim, Hyesung; Park, Jihong; Bennis, Mehdi; Kim, Seong-Lyun

【Source】IEEE COMMUNICATIONS LETTERS

【影响因子】3.553

【Abstract】By leveraging blockchain, this letter proposes a blockchained federated learning (BlockFL) architecture where local learning model updates are exchanged and verified. This enables on-device machine learning without any centralized training data or coordination by utilizing a consensus mechanism in blockchain. Moreover, we analyze an end-to-end latency model of BlockFL and characterize the optimal block generation rate by considering communication, computation, and consensus delays.

【Keywords】Computational modeling; Blockchain; Training; Servers; Nickel; Delays; Data models; On-device machine learning; federated learning; blockchain; latency

【发表时间】2020 JUN

【收录时间】2022-01-02

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