A hybrid federated learning architecture using zero-knowledge proofs for computation verification retains 94.2% accuracy under adversarial conditions across 1,000 nodes.
Federated learning: Challenges, methods, and future directions
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Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures
A hybrid federated learning architecture using zero-knowledge proofs for computation verification retains 94.2% accuracy under adversarial conditions across 1,000 nodes.