# alexjungaalto/FederatedLearning

<https://repo.masters-masters.com/en/repos/alexjungaalto/FederatedLearning>

[Home](https://repo.masters-masters.com/en) › [alexjungaalto](https://repo.masters-masters.com/en/owners/alexjungaalto) › [FederatedLearning](https://repo.masters-masters.com/en/repos/alexjungaalto/FederatedLearning)

alexjungaalto/FederatedLearning has 209 stars on GitHub. Its RepoMasters card: Prototype tier. Material workbench for the master-level course CS-E4740…

| Field | Value |
| --- | --- |
| Owner | [alexjungaalto](https://repo.masters-masters.com/en/owners/alexjungaalto) |
| Stars | 209 |
| Forks | 67 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2022 |
| Topics | artificial-intelligence, complex-networks, distributed-systems, federated-learning, machine-learning, networksecurity |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [alexjungaalto/FederatedLearning](https://github.com/alexjungaalto/FederatedLearning) |

## Repository

Material workbench for the master-level course CS-E4740 "Federated Learning"

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.