Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
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Updated
Apr 18, 2022 - Python
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
This is the code of paper entitled "AFM3D: An Asynchronous Federated Meta-learning Framework for Driver Distraction Detection".
Federated Meta-Learning: a concept that allows everyone to benefit from the data that is generated through machine learning libraries.
IJCAI20 Demo Paper for Federated Meta Learning
a modified version of scikit-learn with an additional library to make API calls for Federated Meta-Learning
FMLearn - Dissertation Report
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