Reps that are nice
- https://github.com/IBM/federated-learning-lib
- https://github.com/mukeshmk/fm-learn
- https://github.com/OpenMined/PySyft
- https://github.com/FederatedAI/FATE
- https://github.com/adap/flower
- https://github.com/AshwinRJ/Federated-Learning-PyTorch
- https://github.com/chaoyanghe/Awesome-Federated-Learning
- https://github.com/AshwinRJ/Federated-Learning-PyTorch
- https://github.com/poga/awesome-federated-learning
- https://github.com/bharathgs/Awesome-Distributed-Deep-Learning
- https://github.com/SAP-samples/machine-learning-diff-private-federated-learning
- https://github.com/weimingwill/awesome-federated-learning
- https://github.com/xaynetwork/xaynet
- https://github.com/tensorflow/federated
- https://blog.openmined.org/federated-credit-scoring/
- https://www.diva-portal.org/smash/get/diva2:1497137/FULLTEXT01.pdf
- https://www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0?topic=cfletp-choosing-your-framework-fusion-method-hyperparameters-tech-preview
- https://arxiv.org/ftp/arxiv/papers/1905/1905.04519.pdf
- https://www.tensorflow.org/federated/federated_learning
- https://developers.arcgis.com/python/guide/ml-and-dl-on-tabular-data/
- https://www.researchgate.net/publication/343533978_Federated_Learning_and_Differential_Privacy_Software_tools_analysis_the_Sherpaai_FL_framework_and_methodological_guidelines_for_preserving_data_privacy
- https://pythonrepo.com/tag/federated-learning_2
- https://medium.com/@ODSC/what-is-federated-learning-99c7fc9bc4f5
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153050/
- https://analyticsindiamag.com/coding-tools-federated-learning/
- https://federated.withgoogle.com/
- https://www.automl.org/wp-content/uploads/2020/07/AutoML_2020_paper_39.pdf
- https://www.geeksforgeeks.org/collaborative-learning-federated-learning/
- https://www.medrxiv.org/content/10.1101/2020.12.22.20245407v1.full
- https://federated.fastforwardlabs.com/
- https://www.kdnuggets.com/2020/04/federated-learning-introduction.html