activity
20212025
most citedNavigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework

11 citations · 25 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.LG2023

Physics-Informed Data Denoising for Real-Life Sensing Systems

Xiyuan Zhang, Xiaohan Fu, Diyan Teng +9

Sensors measuring real-life physical processes are ubiquitous in today's interconnected world. These sensors inherently bear noise that often adversely affects performance and reli…

cs.LG2023★ 1 cited

Targeted collapse regularized autoencoder for anomaly detection: black hole at the center

Amin Ghafourian, Huanyi Shui, Devesh Upadhyay +3

Autoencoders have been extensively used in the development of recent anomaly detection techniques. The premise of their application is based on the notion that after training the a…

cs.LG2023★ 1 cited

Towards Diverse and Coherent Augmentation for Time-Series Forecasting

Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang +2

Time-series data augmentation mitigates the issue of insufficient training data for deep learning models. Yet, existing augmentation methods are mainly designed for classification,…

cs.LG2023★ 3 cited

Unleashing the Power of Shared Label Structures for Human Activity Recognition

Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang +3

Current human activity recognition (HAR) techniques regard activity labels as integer class IDs without explicitly modeling the semantics of class labels. We observe that different…

cs.LG2023★ 11 cited

Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework

Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang +3

Traditional federated classification methods, even those designed for non-IID clients, assume that each client annotates its local data with respect to the same universal class set…