Author

Ting Shu

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Preprint Aug 2026

Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging

Lethe is presented, a benchmark for federated unlearning in medical imaging, which evaluates twelve methods across eight task families, from classification and segmentation to denoising, cross-modality synthesis, and vision-language question answering, at three forgetting granularities and against a retrained gold stan...

Sheng-Chao Chen, Ting Shu · 0 citations

Jul 2026

FM2: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging

FM$^2$ is proposed, a unified framework that trains the core backbone from scratch to preserve medical domain fidelity while optionally incorporating biomedical pretrained encoders for vision-language alignment and demonstrates extensibility to Federated Medical VQA.

Sheng-Chao Chen, Ting Shu · arXiv.org · 0 citations