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Concentrated Differentially Private and Utility Preserving Federated
  Learning

Concentrated Differentially Private and Utility Preserving Federated Learning

30 March 2020
Rui Hu
Yuanxiong Guo
Yanmin Gong
    FedML
ArXivPDFHTML

Papers citing "Concentrated Differentially Private and Utility Preserving Federated Learning"

4 / 4 papers shown
Title
M22: A Communication-Efficient Algorithm for Federated Learning Inspired
  by Rate-Distortion
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion
Yangyi Liu
Stefano Rini
Sadaf Salehkalaibar
Jun Chen
FedML
11
4
0
23 Jan 2023
Trading Data For Learning: Incentive Mechanism For On-Device Federated
  Learning
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning
Rui Hu
Yanmin Gong
FedML
18
63
0
11 Sep 2020
Stigmergic Independent Reinforcement Learning for Multi-Agent
  Collaboration
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration
Xing Xu
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
28
24
0
28 Nov 2019
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
99
570
0
08 Dec 2012
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