Communication Resources Constrained Hierarchical Federated Learning for
End-to-End Autonomous Driving

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving

28 June 2023

Guangxu Zhu

Derrick Wing Kwan Ng

Yik-Chung Wu

Papers citing "Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving"

6 / 6 papers shown

Title
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving Wei-Bin Kou Guangxu Zhu Bingyang Cheng Shuai Wang Ming Tang Yik-Chung Wu 33 0 0 01 May 2025
iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models Wei-Bin Kou Guangxu Zhu Yichen Jin Shuai Wang Ming Tang Yik-Chung Wu 36 0 0 01 May 2025
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 45 10 0 07 May 2024
Lossy Gradient Compression: How Much Accuracy Can One Bit Buy? Sadaf Salehkalaibar Stefano Rini FedML 17 4 0 06 Feb 2022
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S. Savazzi M. Nicoli M. Bennis Sanaz Kianoush Luca Barbieri FedML AIFin AI4CE 38 124 0 09 Jan 2021
Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems Boyi Liu Lujia Wang Xinquan Chen Lexiong Huang Cheng-Zhong Xu 23 21 0 16 Oct 2020