Day 1 Lightning Talks: Privacy & Security

A Google TechTalk, presented by 8 Speakers, 2021/11/8 ABSTRACT: Lightning Talks are 7 minutes plus questions. Session Chair: Adria Gascon (Privacy & Security) | Track 1 1. Zheng Xu - Practical and Private Federated Learning without Sampling or Shuffling 2. Albert Cheu - Shuffle Private Vector Summation 3. Bo Li - Certifiably Robust Federated Learning against Poisoning Attacks 4. Borja Balle - Reconstructing Training Data with Informed Adversaries 5. Amir Houmansadr - A Critical Evaluation of Poisoning Attacks on Federated Learning 6. Hamed Haddadi - PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments 7. Suhas Diggavi - Privacy-performance trade-offs in the Shuffled Model of Federated Learning 8 Phillipp Schopmann -- Distributed Point Functions For abstracts of the talks 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