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Federated Learning Utilities and Tools for Experimentation
Created
2021-11-17
54 commits to main branch, last one about a year ago
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
Created
2021-03-10
216 commits to main branch, last one 2 years ago
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
Created
2022-11-29
21 commits to master branch, last one about a year ago
Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
Created
2019-08-30
1,513 commits to master branch, last one 3 years ago
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federa...
Created
2022-02-18
10 commits to main branch, last one about a year ago
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
Created
2022-09-16
3,161 commits to main branch, last one a day ago
Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated Learning".
Created
2023-02-07
11 commits to main branch, last one about a year ago