News

05/2023, Our paper FS-REAL has been accepted by KDD’2023, pdf!
05/2023, Our benchmark paper for FL backdoor attacks has been accepted by KDD’2023, pdf!
05/2023, Our paper Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting has been accepted by KDD’2023!
04/2023, Our paper pFedGate has been accepted by ICML’2023, pdf!
04/2023, Our benchmark paper for FedHPO FedHPO-Bench has been accepted by ICML’2023, pdf!
04/2023, We release FederatedScope v0.3.0!
02/2023, Our paper elaborating on FederatedScope is accepted at VLDB’23. pdf
10/2022, Our paper on personalized federated learning benchmark, pFL-Bench, is accepted at NeurIPS’22. pdf
08/2022, Our KDD 2022 paper on federated graph learning receives the KDD Best Paper Award for ADS track!
07/2022, We are hosting the CIKM’22 AnalytiCup competition. For more details, please see link
06/2022, We release pFL-Bench, a comprehensive benchmark for personalized Federated Learning (pFL), containing 10+ datasets and 20+ baselines. GitHub, pdf
06/2022, We release FedHPO-B, a benchmark suite for studying federated hyperparameter optimization. GitHub, pdf
06/2022, We release B-FHTL, a benchmark suit for studying federated hetero-task learning. GitHub, pdf
05/2022, Our paper on federated graph learning package is accepted at KDD’22. pdf
05/2022, FederatedScope v0.1.0, our first release, is available at GitHub.