11 papers
Edge Augmentation with Controllability Constraints in Directed Laplacian Networks
Waseem Abbas, Mudassir Shabbir, Yasin Yazıcıoglu +1
In this paper, we study the maximum edge augmentation problem in directed Laplacian networks to improve their robustness while preserving lower bounds on their strong structural co…
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 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…
Improving Network Robustness through Edge Augmentation While Preserving Strong Structural Controllability
Waseem Abbas, Mudassir Shabbir, Hassan Jaleel +1
In this paper, we consider a network of agents with Laplacian dynamics, and study the problem of improving network robustness by adding a maximum number of edges within the network…