Day 2 Lightning Talks: Privacy & Security

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United States Google TechTalks
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Published on ● Video Link: https://www.youtube.com/watch?v=ZG2rfVZqpNs


Duration: 1:06:39
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3

A Google TechTalk, Lightning Talks presented by 7 Speakers, 2021/11/9
ABSTRACT: Each talk is 7 min. plus Q&A.

Track 1 - Session Chair: Peter Kairouz (Privacy & Security)
1. Andreas Haeberlen - Privacy-Preserving Federated Analytics with Billions of Users
2. Li Xiong - Federated Learning with Heterogeneous Data and Heterogeneous Differential Privacy
3. Dawn Song - Federated frequency moments estimation and its application in feature selection
4. Florian Tramer - Better Membership Inference Attacks
5. Shuang Song - Public Data-Assisted Mirror Descent for Private Model Training
6. Steven Wu - Private Multi-Task Learning: Formulation and Applications to Federated Learning
7. Satyen Kale - Learning with user-level differential privacy

For talk abstracts and speaker bios, please see https://events.withgoogle.com/2021-workshop-on-federated-learning-and-analytics/speakers/#content

For more information about the workshop: https://events.withgoogle.com/2021-workshop-on-federated-learning-and-analytics/#content



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