SMILELab-FL

Official implementation of "Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models"

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

Tutorials and paper lists for federated learning

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

Benchmark for federated noisy label learning

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"