# DashanGao/Federated-Transfer-Learning-for-EEG

<https://repo.masters-masters.com/en/repos/DashanGao/Federated-Transfer-Learning-for-EEG>

[Home](https://repo.masters-masters.com/en) › [DashanGao](https://repo.masters-masters.com/en/owners/DashanGao) › [Federated-Transfer-Learning-for-EEG](https://repo.masters-masters.com/en/repos/DashanGao/Federated-Transfer-Learning-for-EEG)

DashanGao/Federated-Transfer-Learning-for-EEG has 107 stars on GitHub. Its RepoMasters card: Prototype tier. This is the code of the paper "Federated Transfer…

| Field | Value |
| --- | --- |
| Owner | [DashanGao](https://repo.masters-masters.com/en/owners/DashanGao) |
| Stars | 107 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DashanGao/Federated-Transfer-Learning-for-EEG](https://github.com/DashanGao/Federated-Transfer-Learning-for-EEG) |

## Repository

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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