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. 2205.13341
  4. Cited By
QUIC-FL: Quick Unbiased Compression for Federated Learning

QUIC-FL: Quick Unbiased Compression for Federated Learning

26 May 2022
Ran Ben-Basat
S. Vargaftik
Amit Portnoy
Gil Einziger
Y. Ben-Itzhak
Michael Mitzenmacher
    FedML
ArXivPDFHTML

Papers citing "QUIC-FL: Quick Unbiased Compression for Federated Learning"

6 / 6 papers shown
Title
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo
Dong-Jun Han
Jaejun Yoo
45
0
0
11 Mar 2025
Towards Efficient Communications in Federated Learning: A Contemporary
  Survey
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
54
59
0
02 Aug 2022
Permutation Compressors for Provably Faster Distributed Nonconvex
  Optimization
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Rafal Szlendak
A. Tyurin
Peter Richtárik
124
35
0
07 Oct 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
412
0
14 Jul 2021
DRIVE: One-bit Distributed Mean Estimation
DRIVE: One-bit Distributed Mean Estimation
S. Vargaftik
Ran Ben-Basat
Amit Portnoy
Gal Mendelson
Y. Ben-Itzhak
Michael Mitzenmacher
OOD
FedML
82
51
0
18 May 2021
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko
Bokun Wang
D. Kovalev
Peter Richtárik
75
14
0
16 Feb 2021
1