25 papers
Eigenspace-Based Clustering for Personalized System Identification
Abdulmoneam Ali, Dipankar Maity, Ahmed Arafa
We study the problem of system identification in heterogeneous settings, where different systems may follow distinct underlying dynamics. Existing clustered system identification a…
Performance-Driven Environment Abstraction with Multi-Timescale Learning
Yue Guan, Dipankar Maity, Panagiotis Tsiotras
We study performance-driven environment abstraction for decision-making in large Markov decision processes. Rather than preserving geometric or topological structure, we seek abstr…
On Type Deception in Linear-Quadratic Differential Games
Jesse Milzman, Dipankar Maity
We consider two-player linear-quadratic differential games of incomplete information, in which one player has a private type initially unknown to the other. The typed player has in…
Collaborative Navigation and Exploration with -Sparse Gaussian Processes
Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras
Collaborative navigation of heterogeneous robots in unknown environments poses significant challenges due to sensing, communication, and computational limitations. In this work, a…
Linear Reformulation of Event-Triggered LQG Control under Unreliable Communication
Zahra Hashemi, Dipankar Maity
We consider event-triggered linear-quadratic Gaussian (LQG) control when sensor updates are transmitted over an i.i.d. packet-erasure channel. Although the optimal controller in a…
Enhancing Robustness of Federated Learning via Server Learning
Van Sy Mai, Kushal Chakrabarti, Richard J. La +1
This paper explores the use of server learning for enhancing the robustness of federated learning against malicious attacks even when clients' training data are not independent and…