Training AI Models with Federated Learning

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Federated learning is a way to train AI models without anyone seeing or touching your data, offering a way to unlock information to feed new AI applications. In this video, Martin Keen discusses the forms, benefits and challenges of federated learning.

#ai #watsonx #llm

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It's incredible how it allows data to be used without compromising privacy or security. This could be a game-changer for industries that handle sensitive information, like healthcare and finance.

mahiaravaarava

I love your explanation method. all clear, with the best order possible and I love the color of markers :))) Thank you. Really helpful.

sarahgh

I really enjoy this series. The explanations are really clear and simple to understand.

clivejefferies

This was concise and well put together. Thank you!

tim-d-s

I prefer it when you draw things from scratch. I am even learning how to do that in preparation for my job interview.

MddM-qu

Federated learning explanation was great 👍👍👍👍👍

arrvind

Nice content, where to learn more about federated leraning? Thanks!

pedrojesusrangelgil

In what degree you are considering SMPC instead of other encryption for secure model aggregation? Anyway, Thanks for the comprehensive recent concepts! FTL is new!

timyasin

An example of dataset and the regarding insight would have been helpful to understand why the insight is not back traceable.

neail

Can you explain more examples? Like healthcare data. I understand from a high level but not in practice.

joshuathomasbrooks

Any new research on Federated Learning applied to Foundation Models?

amoghkamattarcar

It would be very great if, spoken about dataset distribution- iid and non iid and how FL is effected . Specifically non iid setting.

aneesharma

Are you mirrored or did you master the art of writing mirrored?

ousefk

We need regulation in the industry where publicaly traded companies issue fractional stocks to those teaching AI models from web scraping for example.

Lets say I post code for a tcp socket server IBM would like to use. AI scrapes it, learns it, uses it, and voila, I now am issued one thousandth of a share of IBM.

But not the 30 script kiddies who copied my code and put on the Holy You Tube ... because AI would know I posted it first.

Or I could say, ah, that would be cool to share, but why post it, I will just get ripped off anyway?

Fractional stock issuance solves the clerical head aches of other systems I believe

prianigel

You realize that sharing the updated learning gives up the individual companies competitive advantage without giving up their sensitive data? They're giving the milk for free, but keeping their cow.

thomasgale

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