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. 2303.08988
  4. Cited By
Connectivity-Aware Semi-Decentralized Federated Learning over
  Time-Varying D2D Networks

Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks

15 March 2023
Rohit Parasnis
Seyyedali Hosseinalipour
Yun-Wei Chu
M. Chiang
Christopher G. Brinton
    FedML
ArXivPDFHTML

Papers citing "Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks"

7 / 7 papers shown
Title
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Shahryar Zehtabi
Dong-Jun Han
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
AI4CE
45
0
0
08 Apr 2025
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Yun-Wei Chu
Dong-Jun Han
Christopher G. Brinton
24
4
0
15 Jan 2024
Communication-Efficient Federated Optimization over Semi-Decentralized Networks
Communication-Efficient Federated Optimization over Semi-Decentralized Networks
He Wang
Yuejie Chi
FedML
24
2
0
30 Nov 2023
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
27
75
0
21 Aug 2023
Semi-Decentralized Federated Learning with Collaborative Relaying
Semi-Decentralized Federated Learning with Collaborative Relaying
M. Yemini
R. Saha
Emre Ozfatura
Deniz Gündüz
Andrea J. Goldsmith
FedML
34
32
0
23 May 2022
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
35
92
0
29 Jan 2021
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
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
1,685
0
14 Apr 2018
1