2 papers
cs.CV2026
FedVAR: Prototype-Aligned Federated Framework for Video Anomaly Recognition
Ghani Haider, Majid Kundroo, Boyun Eom +3
In the era of Industrial Internet of Things (IIoT) and Cyber-Physical Systems (CPS), Federated Learning (FL) offers a promising decentralized intelligence paradigm for Video Anomal…
cs.CV2024
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
Matias Mendieta, Guangyu Sun, Chen Chen
Federated learning (FL) enables multiple clients to train models collectively while preserving data privacy. However, FL faces challenges in terms of communication cost and data he…