Privacy-preserving and Verifiable Federated Learning with weighted average aggregation in edge computing

Shufen Niu; Weiying Kong; Lihua Chen; Xusheng Zhou; Ning Wang

doi:10.1016/j.jnca.2025.104201

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Privacy-preserving and Verifiable Federated Learning with weighted average aggregation in edge computing

Shufen Niu Weiying Kong Lihua Chen Xusheng Zhou Ning Wang

Year: 2025 Journal: Journal of Network and Computer Applications Vol: 240 Pages: 104201-104201 Publisher: Elsevier BV

DOI: 10.1016/j.jnca.2025.104201

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Keywords:

Computer science Verifiable secret sharing Enhanced Data Rates for GSM Evolution Edge computing Federated learning Privacy protection Edge device Computer security Theoretical computer science Artificial intelligence Cloud computing Operating system

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Cryptography and Data Security

Physical Sciences → Computer Science → Artificial Intelligence

Stochastic Gradient Optimization Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Privacy-preserving and Verifiable Federated Learning with weighted average aggregation in edge computing

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