We would like to invite you to the 2021 Workshop on Federated Learning and Analytics.
Building on last year’s successful workshop, we plan to host talks from Google researchers and world class faculty centered around federated learning and analytics, distributed optimization, cryptography, algorithmic fairness, differential privacy, and policy. The principle goals of the workshop are to:
- (a) present the latest research related to federated learning, federated analytics, and complementary privacy-enhancing technologies,
- (b) discuss algorithmic, systems, and scale challenges in production deployments
- (c) establish collaborations and partnerships,
- (d) promote research utilizing Google’s open-sourced TensorFlow Federated and TensorFlow Privacy.
*Please note, this workshop is by invitation only.*
For information on Day 3 of our workshop, please visit this event page: https://events.withgoogle.com/federated-learning-workshop-using-tensorflow-federated/
Questions?
Email federatedlearning-workshop2021@google.com.
Organized by: Marco Gruteser, Peter Kairouz, and Google University Relations
Community Guidelines
At Google, we celebrate diversity and inclusion — we celebrate it, support it and thrive on it. Google’s philosophy is that all employees and visitors are entitled to a positive environment where everyone can be a successful contributor. We are dedicated to providing a harassment-free and inclusive event experience for everyone. While attending Google events, please remember: Respect each other - Treat everyone with respect. We are committed to a supportive work environment, where everyone has the opportunity to reach their fullest potential. Google has a ZERO TOLERANCE POLICY for harassment of any kind. Speak up if you see or hear something. For more information on our community guidelines, please visit goo.gl/FtOxHM