Explore a cutting-edge presentation on privacy-preserving machine learning in this invited talk from the PPML 2024 workshop, affiliated with Crypto 2024. Delve into Kunal Talwar's insights on "Samplable Anonymous Aggregation for Private Federated Data Analysis" as he discusses innovative techniques for maintaining privacy in collaborative machine learning environments. Gain valuable knowledge about the latest advancements in secure data analysis and federated learning, chaired by Alex Bienstock. Enhance your understanding of privacy-preserving technologies and their applications in the rapidly evolving field of machine learning.
Samplable Anonymous Aggregation for Private Federated Data Analysis
Overview
Syllabus
PPML 2024 invited talk II by Kunal Talwar
Taught by
TheIACR
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