The repository is for federated learning projects inside Huawei Noah's Ark Lab. Currently it includes:

• FairFL: a fair federated learning benchmarking framework that implements existing fair FL algorithms in the paper "Proportional Fairness in Federated Learning" by Guojun Zhang, Saber Malekmohammadi, Xi Chen and Yaoliang Yu. Comments are welcome!
• Hessian Alignment: domain generalization algorithms based on Hessian alignment (ICCV 2023). Code will be out soon.