A Simple Python Testbed for Federated Learning Algorithms

Abstract

Nowadays many researchers are developing various distributed and decentralized frameworks for federated learning algorithms. However, development of such a framework targeting smart Internet of Things in edge systems is still an open challenge. In this paper, we present our solution to that challenge called Python Testbed for Federated Learning Algorithms. The solution is written in pure Python, and it supports both centralized and decentralized algorithms. The usage of the presented solution is both validated and illustrated by three simple algorithm examples.

arXiv comment6 pages, 7 figures, 3 algorithms, as accepted at ZINC 2023, Published by IEEE Xplore

References in corpus (2)

• Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
• BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning

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