12 citations · 19 across the 4 of their papers we have counts for
4 papers
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton +2
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), including perception, planning, and control. However, its reliance on vehicular data f…
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi +1
Decentralized learning and optimization is a central problem in control that encompasses several existing and emerging applications, such as federated learning. While there exists…
A Survey of Federated Learning for Connected and Automated Vehicles
Vishnu Pandi Chellapandi, Liangqi Yuan, Stanislaw H /. Zak +1
Connected and Automated Vehicles (CAVs) are one of the emerging technologies in the automotive domain that has the potential to alleviate the issues of accidents, traffic congestio…
Simultaneous state and exogenous input estimation for nonlinear systems using boundary-layer sliding mode observers
Ankush Chakrabarty, Gregery T. Buzzard, Stanislaw H. Zak +2
While sliding mode observers (SMOs) using discontinuous relays are widely analyzed, most SMOs are implemented computationally using a continuous approximation of the discontinuous…