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ScionFL: Efficient and Robust Secure Quantized Aggregation.

, , , , , , , , , и . IACR Cryptol. ePrint Arch., (2023)

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Ajith Parameswaran

Jisesh Ajitha Sethunadh

Suresh Duggal

Suresh Merchant

Suresh Majmudar

 

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Fast Actively Secure OT Extension for Short Secrets., , и . CoRR, (2019)ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation., , , и . IACR Cryptol. ePrint Arch., (2020)SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning., , , и . IACR Cryptol. ePrint Arch., (2020)ScionFL: Secure Quantized Aggregation for Federated Learning., , , , , , , , , и . CoRR, (2022)Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater (Full Version)., , , , и . IACR Cryptol. ePrint Arch., (2023)MPClan: Protocol Suite for Privacy-Conscious Computations., , , и . J. Cryptol., 36 (3): 22 (июля 2023)Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries"., , и . IEEE Trans. Inf. Forensics Secur., (2023)Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs., , , , , , и . CCS, стр. 3351-3353. ACM, (2022)HyFL: A Hybrid Approach For Private Federated Learning., , , , , и . CoRR, (2023)BLAZE: Blazing Fast Privacy-Preserving Machine Learning., и . NDSS, The Internet Society, (2020)