# Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi

<https://repo.masters-masters.com/en/repos/Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi>

[Home](https://repo.masters-masters.com/en) › [Minki-Kim95](https://repo.masters-masters.com/en/owners/Minki-Kim95) › [Federated-Learning-and-Split-Learning-with-raspberry-pi](https://repo.masters-masters.com/en/repos/Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi)

Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi has 112 stars on GitHub. Its RepoMasters card: Prototype tier. Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [Minki-Kim95](https://repo.masters-masters.com/en/owners/Minki-Kim95) |
| Stars | 112 |
| Forks | 28 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | federated-learning, distributed-computing, deep-learning, pytorch, python, split-learning, raspberry-pi |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi](https://github.com/Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi) |

## Repository

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

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.