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Federated Learning with Formal User-Level Differential Privacy Guarantees
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A Google TechTalk, presented by Abhradeep Thakurta, 2022/11/10.
Presented at the 2022 Workshop on Federated Learning and Analytics.
About the speaker:
Bio: Abhradeep Guha Thakurta is a staff research scientist at Google Research on the Brain Team.
His research lies in the intersection of data privacy and machine learning. He focuses on demonstrating that it is possible to design differentially private learning algorithms that can scale to industrial workloads.
Before Google, Abhradeep was a faculty at UC Santa Cruz, and before that he was a research scientist at Apple and Yahoo Labs. He received his Ph.D. from The Pennsylvania State University in 2013, and did postdoctocs at Stanford University and Microsoft Research.
Presented at the 2022 Workshop on Federated Learning and Analytics.
About the speaker:
Bio: Abhradeep Guha Thakurta is a staff research scientist at Google Research on the Brain Team.
His research lies in the intersection of data privacy and machine learning. He focuses on demonstrating that it is possible to design differentially private learning algorithms that can scale to industrial workloads.
Before Google, Abhradeep was a faculty at UC Santa Cruz, and before that he was a research scientist at Apple and Yahoo Labs. He received his Ph.D. from The Pennsylvania State University in 2013, and did postdoctocs at Stanford University and Microsoft Research.