Amplitude-Varying Perturbation for Balancing Privacy and Utility in
Federated Learning

Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning

7 March 2023

Ming Ding

Jun Li

H. Vincent Poor

Papers citing "Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning"

5 / 5 papers shown

Title
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off Yuecheng Li Lele Fu Tong Wang Jian Lou Bin Chen Lei Yang Zibin Zheng Zibin Zheng Chuan Chen FedML 70 4 0 10 Feb 2024
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey Harrison Kurunathan Hailong Huang Kai Li Wei Ni Ekram Hossain 28 70 0 07 Nov 2022
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,688 0 14 Apr 2018
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 293 14,395 0 07 Oct 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,205 0 16 Aug 2016