← Search

Wujun Zhou

2 accepted papers

2025

Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning

IJCAI 2025

Federated learning enables the clients to collaboratively train a global model, which is aggregated from local models. Due to the heterogeneous data distributions over clients and data privacy in federated learning, it is difficult to train local models to achieve a well-performed global model. In t

Cited by 0SourcePDFScholar
2024

Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss

IJCAI 2024poster

The success of deep learning depends on large-scale and well-curated training data, while data in real-world applications are commonly long-tailed and noisy. Existing methods are usually dependent on label frequency to tackle class imbalance, while the model bias on different classes is not directly…

Cited by 3SourcePDFScholar