How Federated Machine Learning Powers Privacy

Futurized - thought leadership on the future

Apr 19 2022 • 50 mins

In episode 151 of the podcast, the topic is: How Federated Machine Learning Powers Privacy. Our guest is Dave Bauer, CTO, BOSS AI.

In this conversation, we talk about what federated machine learning is and why care, noting its effects on distributed compute, edge clusters, privacy preserving features, and the emerging use cases.

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Trond's takeaway:

The future outlook for Federated Machine Learning is that it takes a key role in facilitating supercompute, that it supports low/no-code development, becomes a lynchpin for safeguarding privacy, and ultimately, powers novel user experiences such as immersive graphics.

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If you like this topic, you may enjoy other episodes of Futurized, such as episode 140, [When will Conversational AI get Real?], episode 69, [The Future of Quantum Security], or episode 30, [The Quest for Artificial General Intelligence]. Hopefully, you'll find something awesome in these or other episodes. If so, do let us know by messaging us, we would love to share your thoughts with other listeners.

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