58 citations · 176 across the 36 of their papers we have counts for
5 papers · 1 filter
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks
Chen Quan, Baocheng Geng, Yunghsiang S. Han +1
This paper employs an audit bit based mechanism to mitigate the effect of Byzantine attacks. In this framework, the optimal attacking strategy for intelligent attackers is investig…
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Prashant Khanduri, Pranay Sharma, Haibo Yang +4
Federated Learning (FL) refers to the paradigm where multiple worker nodes (WNs) build a joint model by using local data. Despite extensive research, for a generic non-convex FL pr…
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing
Geethu Joseph, M. Cenk Gursoy, Pramod K. Varshney
We address the problem of sequentially selecting and observing processes from a given set to find the anomalies among them. The decision-maker observes one process at a time and ob…
Anomaly Detection via Controlled Sensing and Deep Active Inference
Geethu Joseph, Chen Zhong, M. Cenk Gursoy +2
In this paper, we address the anomaly detection problem where the objective is to find the anomalous processes among a given set of processes. To this end, the decision-making agen…
Randomized Multiple Model Multiple Hypothesis Tracking
Haiqi Liu, Xiaojing Shen, Zhiguo Wang +4
This paper considers the data association problem for multi-target tracking. Multiple hypothesis tracking is a popular algorithm for solving this problem but it is NP-hard and is i…