Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT

Miroslav Popovic; Marko Popovic; Ivan Kastelan; Miodrag Djukic; Ilija Basicevic

doi:10.1109/TELFOR59449.2023.10372714

Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT

Distributed, Parallel, and Cluster Computing 2024-01-10 v2

Authors: Miroslav Popovic , Marko Popovic , Ivan Kastelan , Miodrag Djukic , Ilija Basicevic

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Abstract

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.

Keywords

federated learning

Cite

@article{arxiv.2312.04412,
  title  = {Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT},
  author = {Miroslav Popovic and Marko Popovic and Ivan Kastelan and Miodrag Djukic and Ilija Basicevic},
  journal= {arXiv preprint arXiv:2312.04412},
  year   = {2024}
}