Zhaoquan Gu

Labels Are Culprits: Defending Gradient Attack on Privacy

2023 · IEEE Internet of Things Journal

Federated learning (FL) is widely studied for local privacy protection, and it involves exchanging model parameters rather than raw data among clients. However, gradient attacks (GAs) make a malicious client or parameter server of FL …

Medical Specialty Classification Based on Semiadversarial Data Augmentation

2023 · Computational Intelligence and Neuroscience

Rapidly increasing adoption of electronic health record (EHR) systems has caused automated medical specialty classification to become an important research field. Medical specialty classification not only improves EHR system retrieval efficiency and helps general practitioners …

The Design of Fast Delta Encoding for Delta Compression Based Storage Systems

2024 · ACM Transactions on Storage

Delta encoding is a data reduction technique capable of calculating the differences (i.e., delta) among very similar files and chunks. It is widely used for various applications, such as synchronization replication, backup/archival storage, cache compression, …

Fairness-Aware Group Recommendation with Pareto-Efficiency

2017

Group recommendation has attracted significant research efforts for its importance in benefiting a group of users. This paper investigates the Group Recommendation problem from a novel aspect, which tries to maximize the satisfaction of each …