An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application. - Youlong Ding; Xueyang Wu 001; Zhitao Li 005; Zeheng Wu; Shengqi Tan; Qian Xu 005; Weike Pan; Qiang Yang 001 (CoRR, 2022)

Revisiting Hyperparameter Tuning with Differential Privacy. - Youlong Ding; Xueyang Wu 001 (CoRR, 2022)

FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation. - Xueyang Wu 001; Hengguan Huang; Youlong Ding; Hao Wang 014; Ye Wang 007; Qian Xu 005 (AAAI, 2023)

DPFormer: Learning Differentially Private Transformer on Long-Tailed Data. - Youlong Ding; Xueyang Wu 001; Hao Wang 014; Weike Pan (CoRR, 2023)

PAC Privacy Preserving Diffusion Models. - Qipan Xu; Youlong Ding; Jie Gao; Hao Wang (CoRR, 2023)

Delving into Differentially Private Transformer. - Youlong Ding; Xueyang Wu 001; Yining Meng; Yonggang Luo; Hao Wang 014; Weike Pan (ICML, 2024)

FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem. - Zhitao Li 005; Xueyang Wu 001; Weike Pan; Youlong Ding; Zeheng Wu; Shengqi Tan; Qian Xu 005; Qiang Yang 001; Zhong Ming 001 (IEEE Trans. Knowl. Data Eng., 2024)

A New Approach for LPN-based Pseudorandom Functions: Low-Depth and Key-Homomorphic. - Youlong Ding; Aayush Jain; Ilan Komargodski (IACR Cryptol. ePrint Arch., 2025)

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding. - Peihua Mai; Youlong Ding; Ziyan Lyu; Minxin Du; Yan Pang (CoRR, 2025)