MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy
Summary: MTSP-LDP: w-event LDP framework for streaming publication beyond per-timestamp stats, supporting complex multi-task queries. Key idea: temporal-correlation-aware budget allocation plus adaptive private binary tree, grouping/smoothing, and budget-free multi-task processing for higher utility. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Chang Liu (Xi'an Jiaotong University)
- 2. Junzhou Zhao (Xi'an Jiaotong University)
BibTeX Citation
@inproceedings{liu_sigmod26,
title = {{MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy}},
author = {Liu, Chang and Zhao, Junzhou},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786669},
url = {https://dl.acm.org/doi/10.1145/3786669},
year = {2026}
}
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