Federated Learning

Dates: 2022 - ongoing

Contact: sainzpardo ifca.unican.es

Areas: computing

Tags: federated learning , deep learning , privacy

Links:

• Study of the performance and scalability of federated learning for medical imaging with intermittent clients

Federated learning is a data decentralization privacy-preserving technique used to perform machine or deep learning in a secure way.

The main goal is to study the implementation of different schemas for decentralized machine/deep learning (from federated learning to gossip learning, split learning, etc). In addition, we are interested in studying different use cases of the application of these techniques as well as open problems in the field of federated learning.

This work is part of the AI4EOSC project.

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