Yifeng Zheng

Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?

2021 · arXiv (Cornell University)

Collaborative inference has recently emerged as an attractive framework for applying deep learning to Internet of Things (IoT) applications by splitting a DNN model into several subpart models among resource-constrained IoT devices and the cloud. …

Securely Outsourcing Neural Network Inference to the Cloud With Lightweight Techniques

2022 · IEEE Transactions on Dependable and Secure Computing

Neural network (NN) inference services enrich many applications, like image classification, object recognition, facial verification, and more. These NN inference services are increasingly becoming an essential offering from cloud computing providers, where end-users’ data are …

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

2022 · IEEE Transactions on Dependable and Secure Computing

Federated learning has recently emerged as a paradigm promising the benefits of harnessing rich data from diverse sources to train high quality models, with the salient features that training datasets never leave local devices. Only …

A Lexicon Enhanced Chinese Long Named Entity Recognition Using Word-Aware Attention

2023

In recent years, due to the rapid growth of space science and utilization research of China Manned Space Engineering, a considerable amount of technical documents and web data have been produced. Named entity recognition (NER) …