2 papers
cs.LG2025
FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective
Zhekai Zhou, Shudong Liu, Zhaokun Zhou +4
Federated learning (FL) is a decentralized machine learning paradigm in which multiple clients collaboratively train a shared model without sharing their local private data. Howeve…
cs.CV2024
UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark
Zhaokun Zhou, Qiulin Wang, Bin Lin +7
As an alternative to expensive expert evaluation, Image Aesthetic Assessment (IAA) stands out as a crucial task in computer vision. However, traditional IAA methods are typically c…