We develop a resilient binary hypothesis testing framework for decision
...
This work considers the problem of Distributed Mean Estimation (DME) ove...
Enhancing resilience in distributed networks in the face of malicious ag...
We develop a resilient binary hypothesis testing framework for decision
...
This paper introduces the informational multi-armed bandit (IMAB) model ...
We present a semi-decentralized federated learning algorithm wherein cli...
We consider an extension to the restless multi-armed bandit (RMAB) probl...
Intermittent client connectivity is one of the major challenges in
centr...
We consider an extension to the restless multi-armed bandit (RMAB) probl...
We consider a centralized detection problem where sensors experience noi...
This work considers the problem of resilient consensus where stochastic
...
Virtual cell optimization clusters cells into neighborhoods and performs...
This work proposes a new resource allocation optimization and network
ma...
This paper presents an algorithm and regret analysis for the restless hi...
This work presents a new network optimization framework for cellular net...
This work presents a new resource allocation optimization framework for
...
This work proposes a new resource allocation optimization framework for
...