arXiv Machine Learning July 10, 2026 By Zifan Zhang, Minghong Fang, Dianwei Chen, Zhuqing Liu, Prashant Khanduri, Xianfeng Yang, Anupam Das, Yuchen Liu

Securing Autonomous Vehicle Systems via Twin-Aware Federated Reinforcement Learning

Read the original on arXiv Machine Learning →

arXiv:2607. 08137v1 Announce Type: cross Abstract: Federated reinforcement learning (FRL) is crucial for enabling collaborative learning across multiple agents without sharing raw data, thereby enhancing privacy and scalability in the decision-making process within dynamic vehicular environments.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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