2024
DOI: 10.32604/cmc.2024.052846
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A Federated Learning Framework with Blockchain-Based Auditable Participant Selection

Huang Zeng,
Mingtian Zhang,
Tengfei Liu
et al.

Abstract: Federated learning is an important distributed model training technique in Internet of Things (IoT), in which participant selection is a key component that plays a role in improving training efficiency and model accuracy. This module enables a central server to select a subset of participants to perform model training based on data and device information. By doing so, selected participants are rewarded and actively perform model training, while participants that are detrimental to training efficiency and model… Show more

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