Privacy Challenges
Daniel and Daniel discuss the limitations and security concerns of federated learning, highlighting the potential privacy risks involved in receiving information from deployed devices. They express optimism about finding better solutions to improve model performance while ensuring privacy, but acknowledge that there may be intractable problems and situations where federated learning is not applicable. They also suggest that the level of privacy needed can vary depending on the sensitivity of the situation.In this clip
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The Gradient
Daniel Situnayake: AI on the Edge
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