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Distributed Deep Reinforcement Learning Based Gradient Quantization for
  Federated Learning Enabled Vehicle Edge Computing

Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing

11 July 2024
Cui Zhang
Wenjun Zhang
Qiong Wu
Pingyi Fan
Qiang Fan
Jiangzhou Wang
Khaled B. Letaief
ArXivPDFHTML

Papers citing "Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing"

3 / 3 papers shown
Title
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks
Xiao Xu
Qiong Wu
Pingyi Fan
Kezhi Wang
54
0
0
17 Jan 2025
Graph Neural Networks and Deep Reinforcement Learning Based Resource
  Allocation for V2X Communications
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
Maoxin Ji
Qiong Wu
Pingyi Fan
Nan Cheng
Wen Chen
Jiangzhou Wang
Khaled B. Letaief
GNN
24
16
0
09 Jul 2024
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
138
1,663
0
14 Apr 2018
1