High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data

Authors

• 1. Lijie Hu (King Abdullah University of Science and Technology)
• 2. Shuo Ni (University of Southern California)
• 3. Hanshen Xiao (Massachusetts Institute of Technology)
• 4. Di Wang (King Abdullah University of Science and Technology)

@inproceedings{hu_pods22,
        address = {New York, NY, USA},
        series = {{PODS} '22},
        title = {{High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data}},
        url = {https://dl.acm.org/doi/10.1145/3517804.3524144},
        doi = {10.1145/3517804.3524144},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Hu, Lijie and Ni, Shuo and Xiao, Hanshen and Wang, Di},
        year = {2022}
}

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