Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy

14 December 2022

Papers citing "Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy"

8 / 8 papers shown

Title
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning H. Hayati C. Murguia N. van de Wouw FedML 25 0 0 25 Sep 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 48 1 0 16 Aug 2024
Privacy-Preserving Distributed Optimization and Learning Ziqin Chen Yongqiang Wang 28 2 0 29 Feb 2024
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality Ziqin Chen Yongqiang Wang 36 4 0 25 Jun 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks Arun Ganesh Daogao Liu Sewoong Oh Abhradeep Thakurta ODL 27 12 0 20 Feb 2023
Tailoring Gradient Methods for Differentially-Private Distributed Optimization Yongqiang Wang A. Nedić 24 67 0 02 Feb 2022
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems Hoi-To Wai Jean Lafond Anna Scaglione Eric Moulines 69 89 0 05 Dec 2016
Distributed Event Localization via Alternating Direction Method of Multipliers Chunlei Zhang Yongqiang Wang 25 27 0 13 Jul 2016