NVIDIA Federated Learning Application Runtime Environment
Flower: A Friendly Federated AI Framework
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
Benchmark of federated learning. Dedicated to the community. 🤗
Perform data science on data that remains in someone else's server
A unified ecosystem and workspace for large-scale federated learning, bridging the gap between centralized model evolution and decentralized edge intelligence.