VCRFL: A verifiable and collusion-resistant privacy-preserving framework for efficient federated learning

Future Generation Computer Systems 2026 Open access

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Authors: Da-He Huang, Xue-Feng Duan, Yong Ding

DOI: 10.1016/j.future.2026.108635

Cited by: 0

References: 38

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Cryptography and Data Security Stochastic Gradient Optimization Techniques

References 38