no code implementations • 16 Nov 2022 • Qi Guo, Yong Qi, Saiyu Qi, Di wu
To our knowledge, we are the first to present an FSSL method that utilizes only 10\% labeled clients, while still achieving superior performance compared to standard federated supervised learning, which uses all clients with labeled data.
no code implementations • 23 Aug 2022 • Qi Guo, Yong Qi, Saiyu Qi, Di wu, Qian Li
Federated learning (FL) facilitates multiple clients to jointly train a machine learning model without sharing their private data.
no code implementations • 27 Jun 2020 • Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang
SBA stochastically decides whether to augment at iterations controlled by the batch scheduler and in which a ''distilled'' dynamic soft label regularization is introduced by incorporating the similarity in the vicinity distribution respect to raw samples.