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ScionFL: Efficient and Robust Secure Quantized Aggregation.

, , , , , , , , , и . SaTML, стр. 490-511. IEEE, (2024)

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Kurt Möllering

Klaus Möllering

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Wilhelm Möllering

Karin Möllering

 

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BaFFLe: Backdoor detection via Feedback-based Federated Learning., , , и . CoRR, (2020)Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs., , , , , , и . CCS, стр. 3351-3353. ACM, (2022)BaFFLe: Backdoor Detection via Feedback-based Federated Learning., , , и . ICDCS, стр. 852-863. IEEE, (2021)FLAME: Taming Backdoors in Federated Learning., , , , , , , , , и 3 other автор(ы). USENIX Security Symposium, стр. 1415-1432. USENIX Association, (2022)Privacy-preserving Density-based Clustering., , , , , и . AsiaCCS, стр. 658-671. ACM, (2021)Secure Noise Sampling for DP in MPC with Finite Precision., , , , и . ARES, стр. 25:1-25:12. ACM, (2024)Towards Practical Privacy-Preserving Clustering and Health Care Data Analyses.. Technical University of Darmstadt, Germany, (2023)FLGUARD: Secure and Private Federated Learning., , , , , , , , , и 1 other автор(ы). IACR Cryptol. ePrint Arch., (2021)Secure Noise Sampling for DP in MPC with Finite Precision., , , , и . IACR Cryptol. ePrint Arch., (2023)SoK: Efficient Privacy-preserving Clustering., , , и . IACR Cryptol. ePrint Arch., (2021)