awesome-federated-learning and FederatedLearning
About awesome-federated-learning
weimingwill/awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
This is a curated collection of resources for understanding and implementing federated learning. It compiles blogs, surveys, research papers, and software frameworks related to federated learning. You can input a research area or conference name and get a list of relevant academic papers and practical tools. This is ideal for researchers, data scientists, and engineers interested in building or studying machine learning models that preserve data privacy by training on decentralized datasets.
About FederatedLearning
alexjungaalto/FederatedLearning
Material workbench for the master-level course CS-E4740 "Federated Learning"
This course material provides an introduction to Federated Learning (FL), a method for training machine learning models on data distributed across many devices or organizations without centralizing the raw data. It teaches how to design privacy-preserving and scalable FL algorithms. Master's level students, machine learning practitioners, and researchers interested in decentralized AI would use this.
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