A Survey of Federated Learning for Connected and Automated Vehicles. - Vishnu Pandi Chellapandi; Liangqi Yuan; Stanislaw H. Zak; Ziran Wang (ITSC, 2023)

On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (IEEE Control. Syst. Lett., 2023)

Vehicle Speed Profile Optimization for Fuel Efficient Eco-Driving via Koopman Linear Predictor and Model Predictive Control. - Sebastian A. Nugroho; Vishnu Pandi Chellapandi; Hoseinali Borhan (ACC, 2024)

Decentralized Federated Learning: Model Update Tracking Under Imperfect Information Sharing. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (IEEE Big Data, 2024)

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. - Liangqi Yuan; Dong-Jun Han; Vishnu Pandi Chellapandi; Stanislaw H. Zak; Christopher G. Brinton (ICC, 2024)

FedNMUT - Federated Noisy Model Update Tracking Convergence Analysis. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (CoRR, 2024)

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges. - Vishnu Pandi Chellapandi; Liangqi Yuan; Christopher G. Brinton; Stanislaw H. Zak; Ziran Wang (IEEE Trans. Intell. Veh., 2024)

Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data. - Abhijit Chunduru; Majid Morafah; Mahdi Morafah; Vishnu Pandi Chellapandi; Ang Li (CoRR, 2025)