10 citations · 10 across the 4 of their papers we have counts for
13 papers
Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression
Feiyang Cai, Ali I. Ozdagli, Xenofon Koutsoukos
Cyber-physical systems (CPSs) use learning-enabled components (LECs) extensively to cope with various complex tasks under high-uncertainty environments. However, the dataset shifts…
Byzantine Resilient Distributed Multi-Task Learning
Jiani Li, Waseem Abbas, Xenofon Koutsoukos
Distributed multi-task learning provides significant advantages in multi-agent networks with heterogeneous data sources where agents aim to learn distinct but correlated models sim…
Interplay Between Resilience and Accuracy in Resilient Vector Consensus in Multi-Agent Networks
Waseem Abbas, Mudassir Shabbir, Jiani Li +1
In this paper, we study the relationship between resilience and accuracy in the resilient distributed multi-dimensional consensus problem. We consider a network of agents, each of…
Strong Structural Controllability of Diffusively Coupled Networks: Comparison of Bounds Based on Distances and Zero Forcing
Yasin Yazicioglu, Mudassir Shabbir, Waseem Abbas +1
We study the strong structural controllability (SSC) of diffusively coupled networks, where the external control inputs are injected to only some nodes, namely the leaders. For suc…
Resilient Distributed Diffusion for Multi-task Estimation
Jiani Li, Xenofon Koutsoukos
Distributed diffusion is a powerful algorithm for multi-task state estimation which enables networked agents to interact with neighbors to process input data and diffuse informatio…
Resilient Distributed Diffusion in Networks with Adversaries
Jiani Li, Waseem Abbas, Xenofon Koutsoukos
In this paper, we study resilient distributed diffusion for multi-task estimation in the presence of adversaries where networked agents must estimate distinct but correlated states…