We just dropped a new FL library to support researchers and organizations grappling with Federated Learning projects. Syft_Flwr combines Flower’s flexibility with the privacy-preserving networking capabilities of SyftBox. Links in the thread ↓

🎥 Free Privacy-Preserving ML Workshop! Learn how to protect privacy in AI systems 2 Sessions: Dec 4 (This Wed!) & Dec 18, covering: - #FederatedLearning - #DifferentialPrivacy - #HomomorphicEncryption Register → bit.ly/3Ziz6qN

Announcing the #30DaysOfFLCode Challenge! Commit to 30 days of learning #FederatedLearning and other PETs • Boost Your Skills: 1 hour/day with free resources • Network: Connect with experts and peers • Shape AI’s Future: Lead in privacy-preserving tech Register → bit.ly/496FR3x

🌟 I'm taking on the #30DaysOfFLCode Challenge to learn more about #SMPC (Secure Multi-Party Computation) and Privacy Enhancing Technologies over the next month! Join me on this journey! 📅🚀 👉 Want to learn more about #PETs? Check out 30daysofflcode.com for resources and insights!

I'm publicly committing to the #30DaysOfFLCode Challenge! Join me in learning more about #FederatedLearning → 30daysofflcode.com Day 0: Project planning to develop a privacy-preserving preference aggregator with SyftBox. Project link for updates: syftbox.openmined.org/datasites/lu...

I'm publicly committing to the #30DaysOfFLCode Challenge! Join me in learning more about #FederatedLearning → 30daysofflcode.com

Today I am going to commit to 30 days of expanding my knowledge of Privacy Enhancing Technologies (PETs) with OpenMined #30DaysOfFLCode info.openmined.org/30daysofflcode