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Towards Dynamic Resource Allocation and Client Scheduling in
  Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning
  Approach

Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach

21 June 2024
Xiaojing Chen
Zhenyuan Li
Wei Ni
Xin Wang
Shunqing Zhang
Yanzan Sun
Shugong Xu
Qingqi Pei
ArXivPDFHTML

Papers citing "Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach"

2 / 2 papers shown
Title
Device Scheduling and Assignment in Hierarchical Federated Learning for
  Internet of Things
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
Tinghao Zhang
Kwok-Yan Lam
Jun Zhao
24
7
0
04 Feb 2024
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
M. Guizani
Z. Dawy
W. Nasreddine
FedML
53
92
0
14 Jul 2021
1