The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data

Benchmark for federated noisy label learning

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

Dataset for "Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding".

Standard federated learning implementations in FedLab and FL benchmarks.

The first real-world FL benchmark for legal NLP

Code for paper "Federated Model Decomposition with Private Vocabulary for Text Classification"

FedLab-NLP: A Fast and highly Customizable Framework for Federated Learning in Natural Language Processing

A Federated Learning Framework for Graph Learning that is built on FedLab and refers to FederatedScope's graph implementation.