YoVDO

Samplable Anonymous Aggregation for Private Federated Data Analysis

Offered By: TheIACR via YouTube

Tags

Privacy-Preserving Machine Learning Courses Data Analysis Courses Cryptography Courses Federated Learning Courses Differential Privacy Courses Secure Multi-Party Computation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

PPML 2024 invited talk II by Kunal Talwar


Taught by

TheIACR

Related Courses

Statistical Machine Learning
Carnegie Mellon University via Independent Secure and Private AI
Facebook via Udacity Data Privacy and Anonymization in R
DataCamp Build and operate machine learning solutions with Azure Machine Learning
Microsoft via Microsoft Learn Data Privacy and Anonymization in Python
DataCamp