Day 2 Lightning Talks: Privacy & Security

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