Federated Learning Using Open-Source Frameworks

In this talk, i will talk about federated learning and what are all the useful open source projects that can be integerated in our ML based projects too.

In medical diagonosis, hospital regulations prevent single organizations from combining their own patient’s data for machine learning training. So they use FedL open source frameworks like OpenFL, FATE etc,. and no. of open source projects available for different purposes.

We know about machine learning well, where a model learns and predict the output. But it does have some issues in some situations like when, user need data privacy, organization policy. Federated learning is a distributed learning where the single global model can learn efficiently, also have other benefits too.

I will cover major opensource FedL frameworks, its purposes and how they can be integerated in projects.

• Know about Federated Learning.

• Open-Source projects in FedL.

• Will know how to integerate it in projects.