BPFL: Blockchain-Enabled Distributed Edge Cluster for Personalized Federated Learning

Muhammad Firdaus; Siwan Noh; Zhuohao Qian; Kyung-Hyune Rhee

doi:10.1007/978-981-99-1252-0_57

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BPFL: Blockchain-Enabled Distributed Edge Cluster for Personalized Federated Learning

Muhammad Firdaus Siwan Noh Zhuohao Qian Kyung-Hyune Rhee

Year: 2023 Lecture notes in electrical engineering Pages: 431-437 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-1252-0_57

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Keywords:

Computer science Distributed computing Blockchain Cluster analysis Federated learning Enhanced Data Rates for GSM Evolution Personalization Exploit Context (archaeology) Edge computing Computer network Artificial intelligence Computer security World Wide Web

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Stochastic Gradient Optimization Techniques

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BPFL: Blockchain-Enabled Distributed Edge Cluster for Personalized Federated Learning

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