5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 5 cited
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Nan Yang, Dong Yuan, Charles Z Liu +2
Most existing federated learning methods assume that clients have fully labeled data to train on, while in reality, it is hard for the clients to get task-specific labels due to us…
cs.CV2023
Random Padding Data Augmentation
Nan Yang, Laicheng Zhong, Fan Huang +2
The convolutional neural network (CNN) learns the same object in different positions in images, which can improve the recognition accuracy of the model. An implication of this is t…