Privacy
FDS Seminar: Kumar Kshitij Patel (TTIC)
“Re-inventing Machine Learning for Multiple Distributions: Optimization, Privacy, and Incentives” Abstract: Federated Learning (FL) has emerged as a transformative framework for multi-distribution learning, driving breakthroughs in […]
S&DS Seminar: Adam Smith (BU), “Privacy in Machine Learning and Statistical Inference”
Zoom Link: https://yale.zoom.us/j/94223816617 Meeting ID: 942 2381 6617 Abstract: The results of learning and statistical inference reveal information about the data they use. This […]
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