Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866917561948438528 |
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| author | Popovic, Miroslav Popovic, Marko Kastelan, Ivan Djukic, Miodrag Basicevic, Ilija |
| author_facet | Popovic, Miroslav Popovic, Marko Kastelan, Ivan Djukic, Miodrag Basicevic, Ilija |
| contents | The Python Testbed for Federated Learning Algorithms is a simple Python FL framework easy to use by ML&AI developers who do not need to be professional programmers, and this paper shows that it is also amenable to emerging AI tools. In this paper, we successfully developed three elementary FL algorithms using the following three steps process: (i) specify context, (ii) ask ChatGPT to complete server and clients' callback functions, and (iii) verify the generated code. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_04412 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT Popovic, Miroslav Popovic, Marko Kastelan, Ivan Djukic, Miodrag Basicevic, Ilija Distributed, Parallel, and Cluster Computing The Python Testbed for Federated Learning Algorithms is a simple Python FL framework easy to use by ML&AI developers who do not need to be professional programmers, and this paper shows that it is also amenable to emerging AI tools. In this paper, we successfully developed three elementary FL algorithms using the following three steps process: (i) specify context, (ii) ask ChatGPT to complete server and clients' callback functions, and (iii) verify the generated code. |
| title | Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2312.04412 |