A “awesome” curated list of federated learning (FL) academic resources: research papers, tools, frameworks, datasets, tutorials, and workshops. A hub for FL knowledge maintained by the academic community.
Features
- Curated research papers in federated learning
- Lists of FL frameworks and toolkits
- Tutorials, workshops, benchmarks included
- Covers subfields: privacy, graph, vision, NLP
- Links to academic events and surveys
- Community-driven with frequent updates
