Optimizing Privacy-Preserving Multi-Center Bi-Objective Task Assignment in Spatial Crowdsourcing
- 1 December 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Mobile Computing
- Vol. 25 (12) , 22948-22965
Abstract
No abstract availableThis publication has 55 references indexed in Scilit:
- Adaptive-parameter memetic algorithm for privacy-preserving trajectory data publishing: A multi-objective optimization approachComputing, 2025
- Analysis and Multi-objective Protection of Public Medical Datasets from Privacy and Utility PerspectivesData Science and Engineering, 2025
- Hierarchical adaptive evolution framework for privacy-preserving data publishingWorld Wide Web, 2024
- Coalition-based task assignment with priority-aware fairness in spatial crowdsourcingThe VLDB Journal, 2023
- MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentationThe VLDB Journal, 2022
- Spatial crowdsourcing: a surveyThe VLDB Journal, 2019
- Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing with Untrusted Server2018
- Unique in the Crowd: The privacy bounds of human mobilityScientific Reports, 2013
- On the complexity of approximating k-set packingcomputational complexity, 2006
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002