Decentralized Stochastic Optimization with Inherent Privacy Protection

8 May 2022

Papers citing "Decentralized Stochastic Optimization with Inherent Privacy Protection"

14 / 14 papers shown

Title
Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data Jie Liu Y. Wang FedML 75 0 0 20 Mar 2025
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning Xiaoye Miao Bin Li Yangyang Wu Meng Xi Xinkui Zhao 31 0 0 08 Jan 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 44 0 0 08 Jan 2025
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning H. Hayati C. Murguia N. van de Wouw FedML 23 0 0 25 Sep 2024
Quantization Avoids Saddle Points in Distributed Optimization Yanan Bo Yongqiang Wang MQ 16 2 0 15 Mar 2024
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning Haoxiang Ye He Zhu Qing Ling FedML 36 11 0 28 Aug 2023
Enforcing Privacy in Distributed Learning with Performance Guarantees Elsa Rizk Stefan Vlaski A. H. Sayed FedML 14 9 0 16 Jan 2023
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy Yongqiang Wang Tamer Basar 16 21 0 14 Dec 2022
A Robust Dynamic Average Consensus Algorithm that Ensures both Differential Privacy and Accurate Convergence Yongqiang Wang 16 4 0 14 Nov 2022
Ensure Differential Privacy and Convergence Accuracy in Consensus Tracking and Aggregative Games with Coupling Constraints Yongqiang Wang 11 3 0 28 Oct 2022
Networked Signal and Information Processing Stefan Vlaski S. Kar A. H. Sayed José M. F. Moura 41 16 0 25 Oct 2022
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization Yongqiang Wang Tamer Basar 19 44 0 07 Aug 2022
Tailoring Gradient Methods for Differentially-Private Distributed Optimization Yongqiang Wang A. Nedić 20 67 0 02 Feb 2022
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018