Federated Learning for Medical Imaging at PyTorch Conference 2026
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.
Register for PyTorch Conference North America 2026, October 20–21 in San Jose: https://hubs.la/Q04w5M9L0
The session covers practical lessons from training across diverse institutional datasets and building privacy-aware AI systems for medical imaging.
Register for PyTorch Conference North America 2026, October 20–21 in San Jose: https://hubs.la/Q04w5M9L0
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