SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent.

@inproceedings{wei-2026-sagd, author = {Jianxin Wei and Ergute Bao and Xiaokui Xiao and Ting Yu}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {2716--2727}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792223}, doi = {https://doi.org/10.1145/3774904.3792223} }