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researcher

I. Kaštelan

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DC3

identity via Semantic Scholar / OpenAlex

most citedDeveloping Elementary Federated Learning Algorithms Leveraging the ChatGPT

5 citations · 5 across the 1 of their papers we have counts for

collaborators

3 papers

cs.DC2024

MicroPython Testbed for Federated Learning Algorithms

Miroslav Popovic, Marko Popovic, Ivan Kastelan +2

Recently, Python Testbed for Federated Learning Algorithms emerged as a low code and generative large language models amenable framework for developing decentralized and distribute…

cs.DC2024★ 5 cited

Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT

Miroslav Popovic, Marko Popovic, Ivan Kastelan +2

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…

cs.DC2023

A Federated Learning Algorithms Development Paradigm

Miroslav Popovic, Marko Popovic, Ivan Kastelan +2

At present many distributed and decentralized frameworks for federated learning algorithms are already available. However, development of such a framework targeting smart Internet…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.