Graph-Homomorphic Perturbations for Private Decentralized Learning

Graph-Homomorphic Perturbations for Private Decentralized Learning

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020

23 October 2020

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Papers citing "Graph-Homomorphic Perturbations for Private Decentralized Learning"

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Title
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 201 9 0 16 Aug 2024
Enforcing Privacy in Distributed Learning with Performance GuaranteesIEEE Transactions on Signal Processing (IEEE TSP), 2023 Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 160 15 0 16 Jan 2023
Local Graph-homomorphic Processing for Privatized Distributed SystemsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 160 2 0 26 Oct 2022
Networked Signal and Information ProcessingIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022 Stefan Vlaski S. Kar Ali H. Sayed José M. F. Moura 248 23 0 25 Oct 2022
Privatized Graph Federated LearningEURASIP Journal on Advances in Signal Processing (EURASIP J. Adv. Signal Process.), 2022 Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 146 4 0 14 Mar 2022
A Graph Federated Architecture with Privacy Preserving LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021 Elsa Rizk Ali H. Sayed FedML 165 24 0 26 Apr 2021