Google TechTalks | Day 1 Lightning Talks: Privacy & Security @GoogleTechTalks | Uploaded February 2022 | Updated October 2024, 1 week ago.
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 events.withgoogle.com/2021-workshop-on-federated-learning-and-analytics/speakers/#content

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