A federated learning privacy framework for missing data inference in environmental crowd sensing
N Marchang - Transactions on Emerging Telecommunications …, 2024 - Wiley Online Library
Federated learning (FL) is an attractive solution which holds promise to efficiently realize
intelligent privacy‐preserving IoT systems. It does so by training local models at the IoT …
intelligent privacy‐preserving IoT systems. It does so by training local models at the IoT …
DePIN: A Framework for Token-Incentivized Participatory Sensing
MTC Chiu, S Mahajan, MC Ballandies… - arXiv preprint arXiv …, 2024 - arxiv.org
There is always demand for integrating data into microeconomic decision making.
Participatory sensing deals with how real-world data may be extracted with stakeholder …
Participatory sensing deals with how real-world data may be extracted with stakeholder …
[PDF][PDF] Privacy Preservation in Trust-Deficient Decentralized Systems
O HASAN, ML BRUNIE, I Lyon, MS CIMATO… - perso.liris.cnrs.fr
Decentralized distributed systems can provide certain advantages over their centralized
counterparts. These include improved fault tolerance and attack resistance due to the …
counterparts. These include improved fault tolerance and attack resistance due to the …
[PDF][PDF] PayRide: Secure Transport e-Ticketing with Untrusted Smartphone Location
The smartphone location is the basis for a plethora of popular applications, such as traffic
navigation, games, and geotagging. Since the user can manipulate the reported location, it …
navigation, games, and geotagging. Since the user can manipulate the reported location, it …