Technical Leader at Oracle, California, USA

Title of the Talk :
Federated Learning at the Edge: Securing AI Training in Distributed Systems

Abstract of the Talk:
Training AI models often means collecting large amounts of data, which can raise serious privacy and security concerns. Federated learning offers a new approach by allowing devices to train models locally without sending raw data to the cloud. In this talk, we’ll explore how this technique works in real-world distributed systems, especially at the edge where data is generated. You’ll learn how federated learning helps protect sensitive information while still improving AI performance, and why it’s becoming a key part of building secure and privacy-friendly AI solutions.

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