PyTorchCon to feature federated learning glaucoma study spanning 9 datasets in 7 countries
PyTorch · x · 2026-09-17
At PyTorch Conference North America (Oct 20-21, San Jose), UC Davis graduate researcher Sudhanshu Shrivastava will present a federated learning case study in glaucoma imaging using 5,550 color fundus photographs from nine datasets across seven countries.
The talk covers how federated learning enables collaborative medical imaging research without centralizing data, with practical lessons on site-specific fine-tuning, cross-site generalizability, and multi-site learning.
Registration details: standard tickets now at the late rate of $999, academic tickets $249, and 25% off for teams of 10+.
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