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Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge
  Computing

Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing

2 October 2020
Hao Chen
Yu Ye
Ming Xiao
Mikael Skoglund
H. Vincent Poor
ArXivPDFHTML

Papers citing "Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing"

5 / 5 papers shown
Title
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
28
398
0
01 Jun 2022
Asynchronous Parallel Incremental Block-Coordinate Descent for
  Decentralized Machine Learning
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning
Hao Chen
Yu Ye
Ming Xiao
Mikael Skoglund
19
3
0
07 Feb 2022
Federated Learning over Wireless IoT Networks with Optimized
  Communication and Resources
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Student Member Ieee Hao Chen
Shaocheng Huang
Deyou Zhang
Ming Xiao
Fellow Ieee Mikael Skoglund
L. F. I. H. Vincent Poor
25
94
0
22 Oct 2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in
  Edge Industrial IoT
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
Wanlu Lei
Yu Ye
Ming Xiao
Mikael Skoglund
Zhu Han
21
1
0
30 Jun 2021
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
74
605
0
02 Sep 2019
1