ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.12288
  4. Cited By
Graph-Homomorphic Perturbations for Private Decentralized Learning

Graph-Homomorphic Perturbations for Private Decentralized Learning

23 October 2020
Stefan Vlaski
Ali H. Sayed
    FedML
ArXivPDFHTML

Papers citing "Graph-Homomorphic Perturbations for Private Decentralized Learning"

5 / 5 papers shown
Title
Enforcing Privacy in Distributed Learning with Performance Guarantees
Enforcing Privacy in Distributed Learning with Performance Guarantees
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
22
9
0
16 Jan 2023
Local Graph-homomorphic Processing for Privatized Distributed Systems
Local Graph-homomorphic Processing for Privatized Distributed Systems
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
26
1
0
26 Oct 2022
Networked Signal and Information Processing
Networked Signal and Information Processing
Stefan Vlaski
S. Kar
Ali H. Sayed
José M. F. Moura
46
16
0
25 Oct 2022
Privatized Graph Federated Learning
Privatized Graph Federated Learning
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
11
4
0
14 Mar 2022
A Graph Federated Architecture with Privacy Preserving Learning
A Graph Federated Architecture with Privacy Preserving Learning
Elsa Rizk
Ali H. Sayed
FedML
39
21
0
26 Apr 2021
1