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. 2310.16652
  4. Cited By
How Robust is Federated Learning to Communication Error? A Comparison
  Study Between Uplink and Downlink Channels

How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels

25 October 2023
Linping Qu
Shenghui Song
Chi-Ying Tsui
Yuyi Mao
ArXivPDFHTML

Papers citing "How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels"

2 / 2 papers shown
Title
Energy-Efficient Channel Decoding for Wireless Federated Learning:
  Convergence Analysis and Adaptive Design
Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
Linping Qu
Yuyi Mao
Shenghui Song
Chi-Ying Tsui
49
0
0
26 Jun 2024
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
176
764
0
28 Sep 2019
1