116 citations · 117 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition
Kan Xie, Zhe Zhang, Bo Li +4
With the gradual popularization of self-driving, it is becoming increasingly important for vehicles to smartly make the right driving decisions and autonomously obey traffic rules…
cs.LG2021★ 116 cited
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing
Xumin Huang, Peichun Li, Rong Yu +3
As a distributed learning approach, federated learning trains a shared learning model over distributed datasets while preserving the training data privacy. We extend the applicatio…
math.DS2021★ 1 cited
Robust Output Regulation and Reinforcement Learning-based Output Tracking Design for Unknown Linear Discrete-Time Systems
Ci Chen, Lihua Xie, Yi Jiang +2
In this paper, we investigate the optimal output tracking problem for linear discrete-time systems with unknown dynamics using reinforcement learning and robust output regulation t…