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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024

Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles

Cui Zhang, Wenjun Zhang, Qiong Wu +4

The Internet of Vehicles (IoV) network can address the issue of limited computing resources and data processing capabilities of individual vehicles, but it also brings the risk of…

cs.LG2024★ 1 cited

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

Cui Zhang, Wenjun Zhang, Qiong Wu +4

Federated Learning (FL) can protect the privacy of the vehicles in vehicle edge computing (VEC) to a certain extent through sharing the gradients of vehicles' local models instead…