Distributed Differential Utility/Cost Analysis for Privacy Protection. - Xicong Shen; Ying Liu 020 (IEEE Signal Process. Lett., 2019)

Performance-Enhanced Federated Learning With Differential Privacy for Internet of Things. - Xicong Shen; Ying Liu 020; Zhaoyang Zhang 001 (IEEE Internet Things J., 2022)

Privacy-Preserving Distributed Estimation Over Multitask Networks. - Xicong Shen; Ying Liu 020 (IEEE Trans. Aerosp. Electron. Syst., 2022)

A Split-and-Privatize Framework for Large Language Model Fine-Tuning. - Xicong Shen; Yang Liu; Huiqi Liu; Jue Hong; Bing Duan; Zirui Huang; Yunlong Mao; Ye Wu; Di Wu (CoRR, 2023)

Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data. - Xicong Shen; Ying Liu 020; Fu Li; Chunguang Li 001 (IEEE Internet Things J., 2024)