# felisat/clustered-federated-learning

<https://repo.masters-masters.com/en/repos/felisat/clustered-federated-learning>

[Home](https://repo.masters-masters.com/en) › [felisat](https://repo.masters-masters.com/en/owners/felisat) › [clustered-federated-learning](https://repo.masters-masters.com/en/repos/felisat/clustered-federated-learning)

felisat/clustered-federated-learning has 189 stars on GitHub. Its RepoMasters card: Prototype tier. Clustered Federated Learning: Model-Agnostic Distributed…

| Field | Value |
| --- | --- |
| Owner | [felisat](https://repo.masters-masters.com/en/owners/felisat) |
| Stars | 189 |
| Forks | 51 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [felisat/clustered-federated-learning](https://github.com/felisat/clustered-federated-learning) |

## Repository

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

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.