- Published on September 3, 2025
- In AI Startups
Can Data Fragmentation Strengthen Startups Through Federated Learning?
Despite challenges like skewed datasets and model convergence, FL presents a promising solution for navigating India's fragmented data landscape.
- By Smruthi Nadig
India’s AI ecosystem shifts from demos to deployment, with the Digital Personal Data Protection Act of 2023 prompting startups to explore federated learning (FL). FL enables training AI models across institutions without raw data leaving its source, maintaining privacy.
In a country where data is fragmented by geography, institutions, and infrastructure, FL is not just a compliance tool. It is an innovation engine that can unlock collaboration in healthcare, banking, agriculture, telecom, sports, and education.
Healthcare: Collaborative Diagnostics Without Data Pools
Healthcare is perhaps the most natural fit for FL in India. Patient records, diagnostic scans, and pathology data are deeply sensitive, but the demand for collaborative models is immense.
SigTuple, a Bengaluru-ba
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Smruthi Nadig
Smruthi brings over two years of experience in reporting on the global energy industry. They hold a Master's Degree from the University of Leeds in International Journalism and a Bachelor's Degree from Christ University in Media Studies, Economics and Political Science.
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