Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.

@inproceedings{zhao-2023-differentially, author = {Canzhe Zhao and Yanjie Ze and Jing Dong and Baoxiang Wang and Shuai Li}, editor = {Tat-Seng Chua and Hady Wirawan Lauw and Luo Si and Evimaria Terzi and Panayiotis Tsaparas}, title = {{Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization}}, booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}}, pages = {985--993}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539597.3570470}, doi = {https://doi.org/10.1145/3539597.3570470} }