18 citations · 34 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Correct orchestration of Federated Learning generic algorithms: formalisation and verification in CSP
Ivan Prokić, Silvia Ghilezan, Simona Kašterović +3
Federated learning (FL) is a machine learning setting where clients keep the training data decentralised and collaboratively train a model either under the coordination of a centra…
A Simple Python Testbed for Federated Learning Algorithms
Miroslav Popovic, Marko Popovic, Ivan Kastelan +2
Nowadays many researchers are developing various distributed and decentralized frameworks for federated learning algorithms. However, development of such a framework targeting smar…