A blockchain-based privacy-preserving reputation consensus federated learning

To address the challenges of privacy leakage and malicious node attacks in traditional federated learning, this study proposes BPRFL (Blockchain-based Privacy-preserving Reputation Consensus Federated Learning), a novel architecture integrating blockchain technology with federated learning. First, a...

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Autori principali:	Jie Guo, Renjing Liu, Jinsheng Xing
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-12-01
Serie:	Alexandria Engineering Journal
Soggetti:	Federated learning Blockchain Differential privacy Committee-based consensus Reputation-driven election
Accesso online:	http://www.sciencedirect.com/science/article/pii/S1110016825011330
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