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1503.08855
Cited By
Decentralized learning for wireless communications and networking
30 March 2015
G. Giannakis
Qing Ling
Gonzalo Mateos
I. Schizas
Hao Zhu
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Papers citing
"Decentralized learning for wireless communications and networking"
29 / 29 papers shown
Distributed Maximum Consensus over Noisy Links
Ehsan Lari
Reza Arablouei
Naveen K. D. Venkategowda
Stefan Werner
286
2
0
27 Mar 2024
Privacy-Preserving Distributed Nonnegative Matrix Factorization
Ehsan Lari
Reza Arablouei
Stefan Werner
PICV
238
1
0
27 Mar 2024
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
Hui-Li Zhang
Zi Xu
Yuhong Dai
364
1
0
26 Jan 2024
An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems
Computational optimization and applications (Comput. Optim. Appl.), 2023
Hui-Li Zhang
Zi Xu
ODL
292
1
0
24 Oct 2023
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zhenwei Lin
Jingfan Xia
Qi Deng
Luo Luo
232
9
0
18 Oct 2023
Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error
Signal Processing (Signal Process.), 2023
Jie Peng
Weiyu Li
Qing Ling
204
4
0
10 Aug 2023
Iterative Minimax Games with Coupled Linear Constraints
Hui-Li Zhang
Junlin Wang
Zi Xu
692
4
0
09 Dec 2022
A Divide-and-Conquer Algorithm for Distributed Optimization on Networks
N. Emirov
Guohui Song
Qiyu Sun
100
4
0
03 Dec 2021
Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
F. Faraji
F. Lotfi
Javad Khorramdel
Ali Najafi
A. Ghaffari
164
3
0
31 Mar 2021
Fast Graph Filters for Decentralized Subspace Projection
IEEE Transactions on Signal Processing (TSP), 2020
Daniel Romero
Siavash Mollaebrahim
B. Beferull-Lozano
C. Asensio-Marco
170
5
0
15 Nov 2020
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
Jiaxin Ma
Ryo Yonetani
Z. Iqbal
FedML
181
14
0
18 Aug 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
Meisam Razaviyayn
Tianjian Huang
Songtao Lu
Maher Nouiehed
Maziar Sanjabi
Mingyi Hong
243
137
0
15 Jun 2020
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems
Mathematical programming (Math. Program.), 2020
Zi Xu
Hui-Li Zhang
Yang Xu
Guanghui Lan
610
123
0
03 Jun 2020
Asynchronous Decentralized Learning of a Neural Network
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Xinyue Liang
Alireza M. Javid
Mikael Skoglund
Saikat Chatterjee
232
8
0
10 Apr 2020
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2019
Weiyu Li
Yaohua Liu
Z. Tian
Qing Ling
196
26
0
15 Sep 2019
Communication-Censored Distributed Stochastic Gradient Descent
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Weiyu Li
Tianyi Chen
Liping Li
Zhaoxian Wu
Qing Ling
195
24
0
09 Sep 2019
Tight Linear Convergence Rate of ADMM for Decentralized Optimization
Meng Ma
Bingcong Li
G. Giannakis
223
2
0
24 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid Data
Ryo Yonetani
Tomohiro Takahashi
Atsushi Hashimoto
Yoshitaka Ushiku
349
28
0
23 May 2019
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications
Songtao Lu
Ioannis C. Tsaknakis
Mingyi Hong
Yongxin Chen
345
185
0
21 Feb 2019
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
371
321
0
25 May 2018
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs
V. Ioannidis
Yanning Shen
G. Giannakis
214
63
0
16 May 2018
Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles
John Klein
Mahmoud Albardan
Benjamin Guedj
O. Colot
80
2
0
26 Apr 2018
Fast Decentralized Optimization over Networks
Meng Ma
A. Nikolakopoulos
G. Giannakis
156
3
0
06 Apr 2018
Blind Multiclass Ensemble Classification
Panagiotis A. Traganitis
A. Pagés-Zamora
G. Giannakis
205
29
0
08 Dec 2017
Kernel-based Inference of Functions over Graphs
V. Ioannidis
Meng Ma
A. Nikolakopoulos
G. Giannakis
Daniel Romero
277
31
0
28 Nov 2017
Zeroth Order Nonconvex Multi-Agent Optimization over Networks
IEEE Transactions on Automatic Control (TAC), 2017
Davood Hajinezhad
Mingyi Hong
Alfredo García
393
91
0
27 Oct 2017
Sketched Subspace Clustering
Panagiotis A. Traganitis
G. Giannakis
252
59
0
22 Jul 2017
Kernel-based Reconstruction of Graph Signals
Daniel Romero
Meng Ma
G. Giannakis
251
190
0
23 May 2016
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM
Behnam Babagholami-Mohamadabadi
Sejong Yoon
Vladimir Pavlovic
210
7
0
03 Jul 2015
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