Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual
Nodes

Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes

15 April 2024

Anne-Marie Kermarrec

Laurent Massoulie

Papers citing "Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes"

7 / 7 papers shown

Title
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization Mathieu Even Anastasia Koloskova Laurent Massoulié FedML 38 13 0 01 Nov 2023
On the (In)security of Peer-to-Peer Decentralized Machine Learning Dario Pasquini Mathilde Raynal Carmela Troncoso OOD FedML 37 19 0 17 May 2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 40 43 0 23 Jan 2022
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 110 137 0 08 Nov 2021
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers A. Boutet Thomas LeBrun Jan Aalmoes Adrien Baud FedML 55 17 0 26 Sep 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 94 110 0 25 Feb 2021
Privacy Amplification by Decentralization Edwige Cyffers A. Bellet FedML 44 39 0 09 Dec 2020