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20152026
most citedResilient Distributed Diffusion in Networks with Adversaries

39 citations · 57 across the 30 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.LG2020★ 4 cited

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…

eess.SY2020

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…

eess.SY2020

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…

cs.MA2020★ 39 cited

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…

eess.SY2020

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…

eess.SY2020

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…

cs.DB2020

Estimating Descriptors for Large Graphs

Zohair Raza Hassan, Mudassir Shabbir, Imdadullah Khan +1

Embedding networks into a fixed dimensional feature space, while preserving its essential structural properties is a fundamental task in graph analytics. These feature vectors (gra…

eess.SY2020

On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation

Aritra Mitra, Faiq Ghawash, Shreyas Sundaram +1

We address the problem of distributed state estimation of a linear dynamical process in an attack-prone environment. Recent attempts to solve this problem impose stringent redundan…