The long road to computational location privacy: A survey
The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …
the usage of mobile applications, among which many use location to provide geolocated …
Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey
The proliferation of urban sensing, IoT, and big data in cities provides unprecedented
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
Generative models for synthetic urban mobility data: A systematic literature review
A Kapp, J Hansmeyer, H Mihaljević - ACM Computing Surveys, 2023 - dl.acm.org
Although highly valuable for a variety of applications, urban mobility data are rarely made
openly available, as it contains sensitive personal information. Synthetic data aims to solve …
openly available, as it contains sensitive personal information. Synthetic data aims to solve …
Examining the limits of predictability of human mobility
We challenge the upper bound of human-mobility predictability that is widely used to
corroborate the accuracy of mobility prediction models. We observe that extensions of …
corroborate the accuracy of mobility prediction models. We observe that extensions of …
EDEN: Enforcing location privacy through re-identification risk assessment: A federated learning approach
B Khalfoun, S Ben Mokhtar, S Bouchenak… - Proceedings of the ACM …, 2021 - dl.acm.org
Crowd sensing applications have demonstrated their usefulness in many real-life scenarios
(eg, air quality monitoring, traffic and noise monitoring). Preserving the privacy of crowd …
(eg, air quality monitoring, traffic and noise monitoring). Preserving the privacy of crowd …
Energy efficient task caching and offloading in UAV-enabled crowd management
Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) networks provide
ubiquitous communication and computing capacity for mobile users compared with …
ubiquitous communication and computing capacity for mobile users compared with …
Generative models for simulating mobility trajectories
Mobility datasets are fundamental for evaluating algorithms pertaining to geographic
information systems and facilitating experimental reproducibility. But privacy implications …
information systems and facilitating experimental reproducibility. But privacy implications …
Elaborated Framework for Duplicate Device Detection from Multisourced Mobile Device Location Data
Mobile device location data (MDLD) have been popularly utilized in various fields. Yet large-
scale applications are limited because of either biased or insufficient spatial coverage of the …
scale applications are limited because of either biased or insufficient spatial coverage of the …
Privacy-aware human mobility prediction via adversarial networks
As various mobile devices and location-based ser-vices are increasingly developed in
different smart city scenarios and applications, many unexpected privacy leakages have …
different smart city scenarios and applications, many unexpected privacy leakages have …
Survey of federated learning models for spatial-temporal mobility applications
Federated learning involves training statistical models over edge devices such as mobile
phones such that the training data is kept local. Federated Learning (FL) can serve as an …
phones such that the training data is kept local. Federated Learning (FL) can serve as an …