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. 2007.14374
  4. Cited By
Accelerating Federated Learning over Reliability-Agnostic Clients in
  Mobile Edge Computing Systems

Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems

28 July 2020
Wentai Wu
Ligang He
Weiwei Lin
Rui Mao
ArXivPDFHTML

Papers citing "Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems"

11 / 11 papers shown
Title
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
244
0
20 Jul 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with
  Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Qiong Wu
Xu Chen
Ouyang Tao
Zhi Zhou
Xiaoxi Zhang
Shusen Yang
Junshan Zhang
37
44
0
16 Jan 2023
Towards Efficient Communications in Federated Learning: A Contemporary
  Survey
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
54
59
0
02 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
21
56
0
01 Aug 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization
Accelerated Federated Learning with Decoupled Adaptive Optimization
Jiayin Jin
Jiaxiang Ren
Yang Zhou
Lingjuan Lyu
Ji Liu
Dejing Dou
AI4CE
FedML
19
51
0
14 Jul 2022
Asynchronous Decentralized Federated Learning for Collaborative Fault
  Diagnosis of PV Stations
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Qi Liu
Bo-Jun Yang
Zhaojian Wang
Dafeng Zhu
Xinyi Wang
Kai Ma
Xinping Guan
39
38
0
28 Feb 2022
Communication-Efficient Hierarchical Federated Learning for IoT
  Heterogeneous Systems with Imbalanced Data
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
A. Abdellatif
N. Mhaisen
Amr M. Mohamed
A. Erbad
Mohsen Guizani
Z. Dawy
W. Nasreddine
FedML
58
93
0
14 Jul 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
28
86
0
04 May 2021
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning
  on Non-IID Data
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
N. Mhaisen
Alaa Awad
Amr M. Mohamed
A. Erbad
Mohsen Guizani
FedML
50
12
0
10 Dec 2020
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
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
1,687
0
14 Apr 2018
1