Practical Differential Privacy at LinkedIn with Ryan Rogers - #346
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring Privacy Trust Boundaries in Machine Learning Models
This chapter explores the complexities of privacy within machine learning models, focusing on the differences between local and centralized approaches. The discussion emphasizes how varying system configurations can alter trust and perceived privacy, concluding with an invitation for listener engagement.
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