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SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning., , , and . IACR Cryptol. ePrint Arch., (2020)ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation., , , and . IACR Cryptol. ePrint Arch., (2020)Fast Actively Secure OT Extension for Short Secrets., , and . CoRR, (2019)ScionFL: Secure Quantized Aggregation for Federated Learning., , , , , , , , , and . CoRR, (2022)Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater (Full Version)., , , , and . IACR Cryptol. ePrint Arch., (2023)ScionFL: Efficient and Robust Secure Quantized Aggregation., , , , , , , , , and . SaTML, page 490-511. IEEE, (2024)MPClan: Protocol Suite for Privacy-Conscious Computations., , , and . J. Cryptol., 36 (3): 22 (July 2023)Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries"., , and . IEEE Trans. Inf. Forensics Secur., (2023)Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs., , , , , , and . CCS, page 3351-3353. ACM, (2022)HyFL: A Hybrid Approach For Private Federated Learning., , , , , and . CoRR, (2023)