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. 1503.08855
  4. Cited By
Decentralized learning for wireless communications and networking

Decentralized learning for wireless communications and networking

30 March 2015
G. Giannakis
Qing Ling
Gonzalo Mateos
I. Schizas
Hao Zhu
ArXivPDFHTML

Papers citing "Decentralized learning for wireless communications and networking"

8 / 8 papers shown
Title
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex
  Optimization
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization
Zhenwei Lin
Jingfan Xia
Qi Deng
Luo Luo
31
3
0
18 Oct 2023
Non-convex Min-Max Optimization: Applications, Challenges, and Recent
  Theoretical Advances
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
Meisam Razaviyayn
Tianjian Huang
Songtao Lu
Maher Nouiehed
Maziar Sanjabi
Mingyi Hong
19
108
0
15 Jun 2020
Decentralized Learning of Generative Adversarial Networks from Non-iid
  Data
Decentralized Learning of Generative Adversarial Networks from Non-iid Data
Ryo Yonetani
Tomohiro Takahashi
Atsushi Hashimoto
Yoshitaka Ushiku
39
24
0
23 May 2019
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed
  Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
31
297
0
25 May 2018
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs
V. Ioannidis
Yanning Shen
G. Giannakis
27
57
0
16 May 2018
Zeroth Order Nonconvex Multi-Agent Optimization over Networks
Zeroth Order Nonconvex Multi-Agent Optimization over Networks
Davood Hajinezhad
Mingyi Hong
Alfredo García
18
79
0
27 Oct 2017
Kernel-based Reconstruction of Graph Signals
Kernel-based Reconstruction of Graph Signals
Daniel Romero
Meng Ma
G. Giannakis
19
179
0
23 May 2016
A Fast Distributed Proximal-Gradient Method
A Fast Distributed Proximal-Gradient Method
Annie I. Chen
Asuman Ozdaglar
68
146
0
08 Oct 2012
1