Li Xiong

Secure and Efficient Skyline Queries on Encrypted Data

2018 · IEEE Transactions on Knowledge and Data Engineering

Outsourcing data and computation to cloud server provides a cost-effective way to support large scale data storage and query processing. However, due to security and privacy concerns, sensitive data (e.g., medical records) need to be …

Federated Pruning: Improving Neural Network Efficiency with Federated Learning

2022 · arXiv (Cornell University)

Automatic Speech Recognition models require large amount of speech data for training, and the collection of such data often leads to privacy concerns. Federated learning has been widely used and is considered to be an …

Optimization of Power and New Energy Collaborative Planning Based on Linear Programming Algorithm

2025 · Journal of Physics Conference Series

Abstract Currently, there are problems in the planning of power and new energy systems, such as low energy utilization efficiency and poor algorithm convergence. Traditional power planning methods often overlook the integration and utilization of …