Video by PyTorch via YouTube
Sudhan Shushawasa, a graduate student researcher in Electrical and Computer Engineering at UC Davis, discusses how federated learning can enable collaborative medical imaging research without centralizing data, using glaucoma imaging as a case study.
The session covers practical lessons from training across diverse institutional datasets and building privacy-aware AI systems for medical imaging.
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