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Aishwarya Srinivasan

Aishwarya is an AI & ML Innovation Leader at IBM. She works cross-functionally with the product team, data science team and sales to research AI use-cases for clients by conducting discovery workshops and building assets to showcase the business value of the technology. Aishwarya has founded a nonprofit organisation Illuminate AI that aims to provide mentorship, career guidance, and educational support to thousands in the community. She is also a board member for nonprofit organisations like AI for Good Foundation and AI Education project.
Overcoming the cyclical challenge of data utility and data privacy through Federated Learning

Council Post: Overcoming the cyclical challenge of data utility and data privacy through Federated Learning

One of the defining characteristics of federated learning is that it keeps raw data decentralised, train model decentralised and then aggregate. Unlike traditional data centre-based distributed learning settings where data is arbitrarily distributed and any node within the network can access the data, Federated Learning involves heterogeneous distributed data to help protect privacy.

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