39 citations · 47 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
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…
Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression
Feiyang Cai, Jiani Li, Xenofon Koutsoukos
Learning-enabled components (LECs) are widely used in cyber-physical systems (CPS) since they can handle the uncertainty and variability of the environment and increase the level o…
Resilient Distributed Vector Consensus Using Centerpoints
Waseem Abbas, Mudassir Shabbir, Jiani Li +1
In this paper, we study the resilient vector consensus problem in networks with adversarial agents and improve resilience guarantees of existing algorithms. A common approach to ac…