federated learning

An example Python project for simulating federated learning using federated averaging.

This GitLab repository serves as a dedicated space for conducting experiments and validations related to the research paper titled 'Federated learning efficient communication: Sparse single layer updates' submitted to the conference ISGTA'2023 (International Symposium on Green Technologies and Applications). You will find code notebook used to conduct our research validation here.

Federated learning project. Using python , pytorch , Flower , Mlflow , Docker Create architecture to create , deploy model with Flower( binary classification) .