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. 1910.10453
  4. Cited By
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized
  Machine Learning

Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning

23 October 2019
Anis Elgabli
Jihong Park
Amrit Singh Bedi
Chaouki Ben Issaid
M. Bennis
Vaneet Aggarwal
ArXivPDFHTML

Papers citing "Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning"

10 / 10 papers shown
Title
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
Yiyang Lu
M. Pedramfar
Vaneet Aggarwal
86
0
0
30 Jan 2025
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Guangchen Lan
Dong-Jun Han
Abolfazl Hashemi
Vaneet Aggarwal
Christopher G. Brinton
124
15
0
09 Apr 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Elissa Mhanna
Mohamad Assaad
41
1
0
30 Jan 2024
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A
  Survey
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey
O. Shorinwa
Trevor Halsted
Javier Yu
Mac Schwager
16
18
0
26 Jan 2023
Distributed Learning With Sparsified Gradient Differences
Distributed Learning With Sparsified Gradient Differences
Yicheng Chen
Rick S. Blum
Martin Takáč
Brian M. Sadler
18
15
0
05 Feb 2022
Learning, Computing, and Trustworthiness in Intelligent IoT
  Environments: Performance-Energy Tradeoffs
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
B. Soret
L. Nguyen
J. Seeger
Arne Bröring
Chaouki Ben Issaid
S. Samarakoon
Anis El Gabli
V. Kulkarni
M. Bennis
P. Popovski
23
13
0
04 Oct 2021
Communication Efficient Distributed Learning with Censored, Quantized,
  and Generalized Group ADMM
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
Chaouki Ben Issaid
Anis Elgabli
Jihong Park
M. Bennis
Mérouane Debbah
FedML
21
13
0
14 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
25
161
0
06 Aug 2020
rTop-k: A Statistical Estimation Approach to Distributed SGD
rTop-k: A Statistical Estimation Approach to Distributed SGD
L. P. Barnes
Huseyin A. Inan
Berivan Isik
Ayfer Özgür
19
65
0
21 May 2020
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