ByITFL and LoByITFL are Byzantine-resilient federated learning schemes that claim perfect information-theoretic privacy using a polynomial discriminator and secret sharing, but the privacy proof has a gap around per-user norm validation.
Privacy- preserving deep learning via additively homomorphic encryption,
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Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
ByITFL and LoByITFL are Byzantine-resilient federated learning schemes that claim perfect information-theoretic privacy using a polynomial discriminator and secret sharing, but the privacy proof has a gap around per-user norm validation.