WebApr 7, 2024 · In this paper, we present E-seaML, a novel secure aggregation protocol with high communication and computation efficiency. E-seaML only requires one round of communication in the aggregation phase ... WebJahani-Nezhad, Tayyebeh; Maddah-Ali, Mohammad Ali; Li, Songze; Caire, Giuseppe SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees 2024 IEEE International Symposium on Information Theory (ISIT), Page 103-108 2024
[2302.09913] Byzantine-Resistant Secure Aggregation …
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WebAuthors: Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Giuseppe Caire (Submitted on 20 Feb 2024) Abstract: In this paper, we propose an efficient secure aggregation scheme for federated learning that is protected against Byzantine attacks and privacy leakages. Processing individual updates to manage adversarial behavior, while … WebMar 2, 2024 · by Tayyebeh Jahani-Nezhad, et al. ∙ 0 ∙ share Gradient coding allows a master node to derive the aggregate of the partial gradients, calculated by some worker nodes over the local data sets, with minimum communication cost, and … WebTayyebeh Jahani-Nezhad (Ph.D. Advisor), Sharif University of Technology Title: Reliable Distributed Computation and Leaning Nastaran Abadi (part time) (Ph.D. Advisor), Sharif … penn med southern chester county