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FLTK toolkit supporting the publication: Aergia: leveraging heterogeneity in federated learning systems
FLTK is a research-oriented toolkit for designing and running Federated Learning (FL) experiments. It is built on top of PyTorch Distributed and is designed to support truly distributed federated systems. The toolkit has been tested on Ubuntu 20.04 with Python 3.7 and 3.8.
This repository contains the code and experiments for the paper:
Aergia: Leveraging Heterogeneity in Federated Learning Systems Bart Cox, Lydia Y. Chen, Jérémy Decouchant Proceedings of the 23rd ACM/IFIP International Middleware Conference (Middleware 2022)