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Making Federated Learning Private and Secure

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Hosted By
Tijana M.
Making Federated Learning Private and Secure

Details

>> PLEASE NOTE <<

>> New update due to Coronavirus development: With regards to the lockdown in Italy and the overall uncertainty around Europe, we couldn’t proceed with organising the Hackathon remotely as previously announced. We have decided to postpone both Hackathon and Meetup until further notice. We will keep you updated regarding the potential future dates for scheduling the Musketeer/XAIN Hackathon & Meetup as it was initially planned.

Thank you for your understanding. Stay safe and help protect the ones more vulnerable to the Coronavirus. <<
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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 and privacy 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: Luis Muñoz-González, Research Associate at Imperial
College London
18:45 break
18:55 2nd talk: Leif-Nissen Lundbæk, CEO at XAIN AG
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 -

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

Organizers

XAIN, the technology company, aims to solve the challenge of combining AI with privacy. Based on a joint research project by CEO Leif-Nissen Lundbæk and CTO, as well as Imperial College London Professor, Michael Huth, XAIN developed the end-to-end platform for Federated Learning. More info: xain.io

Learn more about XAIN: https://www.xain.io

Follow us on Twitter: @xain_ag

MUSKETEER aims to develop an industrial data platform with scalable algorithms for federated and privacy-preserving machine learning techniques, detection and mitigation of model capable of fairly monetizing datasets according to their real data value. MUSKETEER is an H2020 project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824988.

Learn more about Musketeer project: https://musketeer.eu

If you have any further questions or suggestions, you can always reach us via email: meetup@xain.io

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