Youlong Ding

According to our database, Youlong Ding authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 2025

A New Approach for LPN-Based Pseudorandom Functions: Low-Depth and Key-Homomorphic.

Youlong Ding, Aayush Jain, Ilan Komargodski

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

2024

FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem.

Zhitao Li, Xueyang Wu, Weike Pan, Youlong Ding, Zeheng Wu, Shengqi Tan, Qian Xu, Qiang Yang, Zhong Ming

IEEE Trans. Knowl. Data Eng., 2024

Delving into Differentially Private Transformer.

Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

PAC Privacy Preserving Diffusion Models.

Qipan Xu, Youlong Ding, Jie Gao, Hao Wang

CoRR, 2023

DPFormer: Learning Differentially Private Transformer on Long-Tailed Data.

Youlong Ding, Xueyang Wu, Hao Wang, Weike Pan

CoRR, 2023

FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation.

Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Revisiting Hyperparameter Tuning with Differential Privacy.

Youlong Ding, Xueyang Wu

CoRR, 2022

An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application.

Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang

CoRR, 2022