1 citations · 1 across the 7 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.LG2024
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
Wenjun Ding, Ying An, Lixing Chen +3
Federated Adversarial Learning (FAL) is a robust framework for resisting adversarial attacks on federated learning. Although some FAL studies have developed efficient algorithms, t…
cs.CV2024
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
Ziyuan Ding, Yixiong Liang, Shichao Kan +1
High resolution is crucial for precise segmentation in fundus images, yet handling high-resolution inputs incurs considerable GPU memory costs, with diminishing performance gains a…
cs.AI2024
FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization
Yuan Liu, Shu Wang, Zhe Qu +3
Federated Domain Generalization (FedDG) aims to train the global model for generalization ability to unseen domains with multi-domain training samples. However, clients in federate…