3 papers
cs.LG2026
Automating aggregation strategy selection in federated learning
Dian S. Y. Pang, Endrias Y. Ergetu, Eric Topham +1
Federated Learning enables collaborative model training without centralising data, but its effectiveness varies with the selection of the aggregation strategy. This choice is non-t…
cs.CV2026
A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification
Yixuan Liu, Kanwal K. Bhatia, Ahmed E. Fetit
Despite advances in machine learning-based medical image classifiers, the safety and reliability of these systems remain major concerns in practical settings. Existing auditing app…
eess.IV2020
Reducing Textural Bias Improves Robustness of Deep Segmentation Models
Seoin Chai, Daniel Rueckert, Ahmed E. Fetit
Despite advances in deep learning, robustness under domain shift remains a major bottleneck in medical imaging settings. Findings on natural images suggest that deep neural models…