Federated learning has a major trust problem — here’s how zero-knowledge fixes it 🛡️
Decentralized AI training breaks down when malicious actors compromise the network:
▫️ Corrupted local training — Rogue clients push malicious models to disrupt learning 🦠
▫️ Malicious aggregation — Central aggregators manipulate global updates instead of combining honest data 🚨
Without verification, federated learning remains vulnerable at every stage.
Hayk breaks down why ZK proofs and verification layers are essential to securing decentralized AI.
📺 Watch the full session: https://youtu.be/6VvSunDFMTI?si=dEyq6MTXiuw5kABA
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1July 31, 2026 70