70 citations · 72 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 70 cited
Multi-Participant Multi-Class Vertical Federated Learning
Siwei Feng, Han Yu
Federated learning (FL) is a privacy-preserving paradigm for training collective machine learning models with locally stored data from multiple participants. Vertical federated lea…
cs.LG2019★ 2 cited
Few-Shot Learning-Based Human Activity Recognition
Siwei Feng, Marco F. Duarte
Few-shot learning is a technique to learn a model with a very small amount of labeled training data by transferring knowledge from relevant tasks. In this paper, we propose a few-s…
cs.LG2018
Autoencoder Based Sample Selection for Self-Taught Learning
Siwei Feng, Han Yu, Marco F. Duarte
Self-taught learning is a technique that uses a large number of unlabeled data as source samples to improve the task performance on target samples. Compared with other transfer lea…