DeSA: Decentralized Secure Aggregation for Federated Learning in Zero-Trust D2D Networks

Summary

DeSA is a Byzantine-robust decentralized secure aggregation protocol for federated learning in device-to-device networks without a central server. It uses an enhanced zk-SNARK proof system to verify local training and embeds multiple zero-knowledge proofs to check model aggregation, with a one-time masking method that adapts to evolving network topologies. Experiments on real-world datasets show faster verification of an embedded proof than of multiple proofs, with accuracy that stays robust against malicious nodes.

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