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How can federated learning be used to resolve privacy concerns and encourage collaboration within multi-institutional genomic research initiatives?

11 months ago in PhD Topic Ideas , PhD Topic Selection By Virat

Deep Learning PhD Management PhD Thesis

PhD in Genomic Research Collaboration

I am drawn to federated learning as I am doing a PhD in Genomic Research Collaboration. Could you detail on how federated learning could be employed to address the privacy issues?

All Answers (1 Answers In All)

By Natasha Answered 11 months ago

Use federated learning in multi-institutional genomic research initiatives which includes decentralized model training. It gives an opportunity for institutions to work together without sharing patients' sensitive data. Address the privacy concerns by reducing patients' data exposure. Apply secure aggregation protocols and encryption techniques to overcome the drawback that is experienced when the server adds up thousands of models after receiving an update from many users. Standardize procedures on data sharing, as well as model aggregation with the institutions. Develop standardized procedures on data sharing, as well as model aggregation with the institutions. Audit and update regularly the security measures for sustained integrity of the federated learning systems amidst the dynamic domain of genomic research collaboration.

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