Securing Autonomous Vehicle Systems via Twin-Aware Federated Reinforcement Learning

arXiv:2607.08137 · cs.CR, cs.DC, cs.LG, cs.NI · Submitted 2026-07-09 · Read on arXiv

Zifan Zhang, Minghong Fang, Dianwei Chen, Zhuqing Liu, Prashant Khanduri, Xianfeng Yang, Anupam Das, Yuchen Liu

cs.CR, cs.DC, cs.LG, cs.NI

Submitted: 2026-07-09

Comments: Submitted to IEEE for potential publication

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Aggregation — 46× in this paper · explained in 1 episode
Reinforcement Learning — 28× in this paper · explained in 4 episodes
Robustness — 24× in this paper · explained in 5 episodes
Federated Learning — 13× in this paper · explained in 14 episodes
Digital Twin — 8× in this paper · explained in 4 episodes
Loss Function — 6× in this paper · explained in 2 episodes
Theoretical Guarantees — 3× in this paper · explained in 2 episodes
Ablation — 2× in this paper · explained in 1 episode
Action Space — 2× in this paper · explained in 1 episode
Actor — 2× in this paper · explained in 3 episodes
Alignment — 2× in this paper · explained in 1 episode
Consistency — 2× in this paper · explained in 3 episodes
Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
Fidelity — 2× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Verification — 2× in this paper · explained in 2 episodes
Ablation study — 1× in this paper · explained in 1 episode
Abstraction — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Adversarial scenarios — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Calibration — 1× in this paper · explained in 7 episodes
Clustering — 1× in this paper · explained in 2 episodes
Computational overhead — 1× in this paper · explained in 2 episodes
Convergence Guarantees — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Curse of Dimensionality — 1× in this paper · explained in 6 episodes
Deep Deterministic Policy Gradient — 1× in this paper
Distillation — 1× in this paper · explained in 2 episodes
Edge Devices — 1× in this paper · explained in 2 episodes
Federated Learning (FL) — 1× in this paper · explained in 7 episodes
Generalizability — 1× in this paper · explained in 6 episodes
Geometric Distribution — 1× in this paper · explained in 2 episodes
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Markov Decision Process — 1× in this paper
Markov Decision Process (MDP) — 1× in this paper · explained in 10 episodes
Non-stationarity — 1× in this paper · explained in 2 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Physical Constraints — 1× in this paper · explained in 7 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 24 episodes
Reward Function — 1× in this paper · explained in 2 episodes
Sample Complexity — 1× in this paper · explained in 15 episodes

Terminology

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