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Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning.

, , , , and . AAAI, page 9864-9873. AAAI Press, (2023)

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Privacy-Aware Distributed Graph-Based Semi-Supervised Learning., , and . MLSP, page 1-6. IEEE, (2019)CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning., , and . IEEE J. Sel. Areas Inf. Theory, 2 (1): 441-451 (2021)Secure Aggregation for Buffered Asynchronous Federated Learning., , , and . CoRR, (2021)SCALR: Communication-Efficient Secure Multi-Party Logistic Regression., , and . IEEE Trans. Commun., 72 (1): 162-178 (January 2024)Secure Aggregation for Clustered Federated Learning., and . ISIT, page 186-191. IEEE, (2023)Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning., , , , and . AAAI, page 9864-9873. AAAI Press, (2023)Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10566-10593. PMLR, (2023)TACC: Topology-Aware Coded Computing for Distributed Graph Processing., , and . IEEE Trans. Signal Inf. Process. over Networks, (2020)Breaking the Quadratic Communication Overhead of Secure Multi-Party Neural Network Training., and . ISIT, page 921-926. IEEE, (2023)Energy-Harvesting Distributed Machine Learning., and . ISIT, page 320-325. IEEE, (2021)