MicroPython Testbed for Federated Learning Algorithms
Miroslav V. Popovic, Marko Popović, Ivan Kaštelan, Miodrag M. Djukic, Ilija V. Basicevic, Pavle Vasiljevic · 2024
The original Python Testbed for Federated Learning Algorithms (PTB-FLA) is a light FL framework, which provides generic centralized and decentralized federated learning algorithms, but has the limitation that all the application instances can run only on a single PC. This paper presents the MicroPyton Testbed for Federated Learning Algorithms (MPT-FLA), the new framework that overcomes this limitation such that individual application instances may run on different network nodes like PCs and IoTs, primarily in edge systems. The new framework was validated and evaluated on a wireless LAN of PCs and RPi Pico W boards and wired LAN of PCs, respectively, by using application examples originally developed for the predecessor framework.