Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region

no code implementations • 30 Mar 2024 • Haijie Xu, Xiaochen Xian, Chen Zhang, Kaibo Liu

Meanwhile, by treating the detection power as a reward, its connection with the online combinatorial multi-armed bandit (CMAB) problem is formulated and an adaptive upper confidence region algorithm is proposed for adaptive sampling policy design.

Change Point Detection

Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things

no code implementations • 2 Oct 2023 • Xianjian Xie, Xiaochen Xian, Dan Li, Andi Wang

The Internet of Federated Things (IoFT) represents a network of interconnected systems with federated learning as the backbone, facilitating collaborative knowledge acquisition while ensuring data privacy for individual systems.

Adversarial Attack Federated Learning

Adaptive Learning for the Resource-Constrained Classification Problem

no code implementations • 19 Jul 2022 • Danit Shifman Abukasis, Izack Cohen, Xiaochen Xian, Kejun Huang, Gonen Singer

Resource-constrained classification tasks are common in real-world applications such as allocating tests for disease diagnosis, hiring decisions when filling a limited number of positions, and defect detection in manufacturing settings under a limited inspection budget.

Classification Defect Detection