Paper on comparison between federated learning and coreset accepted to FL-ICML’20

Hanlin’s preliminary result  in exploring the data privacy aspect of coreset-based learning, in comparison with federated learning, is accepted for a long presentation (11 out of 46) at the International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2020 (FL-ICML’20). Congratulations, Hanlin!