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Semi-Decentralized Federated Edge Learning with Data and Device
  Heterogeneity

Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity

20 December 2021
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
    FedML
ArXivPDFHTML

Papers citing "Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity"

8 / 8 papers shown
Title
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Amir Ali-Pour
Sadra Bekrani
Laya Samizadeh
Julien Gascon-Samson
FedML
42
0
0
22 Apr 2025
Communication-Efficient Federated Optimization over Semi-Decentralized Networks
Communication-Efficient Federated Optimization over Semi-Decentralized Networks
He Wang
Yuejie Chi
FedML
32
2
0
30 Nov 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
43
23
0
20 Jul 2023
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air
  Federated Learning
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning
Yuchang Sun
Zehong Lin
Yuyi Mao
Shi Jin
Jinchao Zhang
48
11
0
26 May 2023
Semi-Decentralized Federated Edge Learning for Fast Convergence on
  Non-IID Data
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
FedML
37
39
0
26 Apr 2021
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
564
0
27 Jul 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
1,687
0
14 Apr 2018
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
179
683
0
07 Dec 2010
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