What we're about

Let’s discuss Federated Learning!

This group has been created to provide the machine learning (ML) community a place to exchange information and experiences around the innovative ML approach of Federated Learning, also known as Federated Machine Learning.

Whether you are an AI engineer, developer, data scientist, privacy officer, lawyer or simply a generally interested person, this group is for you! We welcome everybody to join that is interested in tech deep dives, use cases, and their applications.

This group is specifically meant to be interactive and collaborative. We welcome everybody to share ideas and knowledge in the field. If you would like to propose meetup topics, either to present yourself or because you’d like to learn more about, we’d love to hear from you under meetup@xain.io. You can also use this email address for questions and concerns.

Please also take a minute to read our Code of conduct: https://www.xain.io/coc

If you are new to the topic, feel free to dive deeper into the following resources:

• An introduction to Federated Learning: https://www.xain.io/federated-machine-learning

• Video ‘Federated Learning explained in 90 seconds’:
http://bit.ly/xain-vid

• An introduction to the privacy aspects of AI and ML: https://medium.com/xain/an-introduction-to-xains-gdpr-compliance-layer-for-machine-learning-f7c321b31b06

• Find our Apache Open Source end-to-end Federated Learning stack here: https://github.com/xainag

Our tech stack:

• Python 3.6

• TensorFlow 1.14.0 migrating to 2.0.0

• NumProto v0.3.0

Good to know
In 2020, we will start hosting a series of meetups.

About XAIN

At XAIN, we build solutions that bring enterprises to the forefront of AI utilization. We tackle the dilemma of unlocking the full power of AI without compromising data privacy. XAIN’s origin was a joint research project by CEO Leif-Nissen Lundbaek and  Imperial College London Professor Michael Huth  as well as CTO at XAIN.

Research is in our DNA and today serves as our driving force for further innovation. XAIN aims to solve some of the biggest challenges in the research field of privacy-preserving AI, particularly focusing on Federated Machine Learning.

Upcoming events (2)

MUSKETEER/XAIN Hackathon: Shielding Federated Learning against Attacks

Prepare your keyboards, it's time for hacking: First-ever MUSKETEER/XAIN Hackathon will kick off early in the morning on March 24th The goal of this Hackathon will be to stress test the security of federated learning algorithms to data poisoning, faulty and/or noisy users in the platform. The event will be managed from three different locations - Berlin as the headquarters, Dublin and Palermo. The collaboration will be done online, using cloud services to allow participants to remotely communicate and perform the stress tests, without the need to travel. - Requirements for participating at the Hackathon - If you are interested to join our team in hacking, soon we will publish more details on how you can apply. Since this Hackathon will be deep-dive into federated learning algorithms, please bear in mind that certain technical skill will be required. - Stay tuned - Please also take a minute to read our Code of conduct: https://www.xain.io/coc Learn more about XAIN: https://www.xain.io Follow us on Twitter: @xain_ag Learn more about Musketeer project: https://musketeer.eu If you have any further questions or suggestions, you can always reach us via email: [masked]

Making Federated Learning Private and Secure

Welcome back to Federated Learning meetup community! After our first kick-off meeting, where we presented a general intro to Federated Learning, it is time to dive deeper into this topic. On this day, after morning hackathon, the evening will be reserved for all those who are interested in learning more about the security of Federated Learning algorithms. At this meetup, we will guide you through the most relevant learnings from the hackathon and share personal experiences of participants. More details on the topic and speakers will be revealed in the following days. We welcome everybody to join that is interested in tech deep dives, use cases, and their applications. All levels of knowledge are welcome! And there is no better way to finish this long day than with some great music and drinks! More detailed agenda will follow up! Schedule: 18:00 Doors open 18:15 1st talk 18:45 break 18:55 2nd talk 19:25 break 19:35 Insights from participants 19:50 Q&A 20:00 Networking, Drinks & Snacks [Open-end] We are looking forward to seeing you at our XAIN HQ! - Stay tuned - Please also take a minute to read our Code of conduct: https://www.xain.io/coc Learn more about XAIN: https://www.xain.io Follow us on Twitter: @xain_ag Learn more about Musketeer project: https://musketeer.eu If you have any further questions or suggestions, you can always reach us via email: [masked]

Past events (1)

Introduction to Federated Learning

XAIN AG

Photos (7)

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