ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.08241
  4. Cited By
CosSGD: Communication-Efficient Federated Learning with a Simple
  Cosine-Based Quantization
v1v2 (latest)

CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization

15 December 2020
Yang He
Hui-Po Wang
M. Zenk
Mario Fritz
    FedMLMQ
ArXiv (abs)PDFHTML

Papers citing "CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization"

5 / 5 papers shown
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior ModelsNeural Information Processing Systems (NeurIPS), 2024
Hui-Po Wang
Mario Fritz
543
5
0
26 Sep 2024
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point
Bokun Wang
Axel Berg
D. A. E. Acar
Chuteng Zhou
MQFedML
372
1
0
02 Jul 2024
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss
  Approximations
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss ApproximationsProceedings on Privacy Enhancing Technologies (PoPETs), 2023
Hui-Po Wang
Dingfan Chen
Raouf Kerkouche
Mario Fritz
FedMLDD
684
6
0
02 Feb 2023
ProgFed: Effective, Communication, and Computation Efficient Federated
  Learning by Progressive Training
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive TrainingInternational Conference on Machine Learning (ICML), 2021
Hui-Po Wang
Sebastian U. Stich
Yang He
Mario Fritz
FedMLAI4CE
383
69
0
11 Oct 2021
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy
Martin Jaggi
Satyen Kale
M. Mohri
Sashank J. Reddi
Sebastian U. Stich
A. Suresh
FedML
712
241
0
08 Aug 2020
1
Page 1 of 1