Enabling and emerging technologies for social distancing: a comprehensive survey and open problems
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …
such as COVID-19. By minimizing the close physical contact among people, we can reduce …
A comprehensive survey of enabling and emerging technologies for social distancing—Part II: Emerging technologies and open issues
This two-part paper aims to provide a comprehensive survey on how emerging
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …
Blockchain assisted decentralized federated learning (BLADE-FL): Performance analysis and resource allocation
Federated learning (FL), as a distributed machine learning paradigm, promotes personal
privacy by local data processing at each client. However, relying on a centralized server for …
privacy by local data processing at each client. However, relying on a centralized server for …
A triple real-time trajectory privacy protection mechanism based on edge computing and blockchain in mobile crowdsourcing
W Wang, Y Wang, P Duan, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
User-level privacy-preserving federated learning: Analysis and performance optimization
Federated learning (FL), as a type of collaborative machine learning framework, is capable
of preserving private data from mobile terminals (MTs) while training the data into useful …
of preserving private data from mobile terminals (MTs) while training the data into useful …
Low-latency federated learning over wireless channels with differential privacy
In federated learning (FL), model training is distributed over clients and local models are
aggregated by a central server. The performance of uploaded models in such situations can …
aggregated by a central server. The performance of uploaded models in such situations can …
Privacy protection federated learning system based on blockchain and edge computing in mobile crowdsourcing
W Wang, Y Wang, Y Huang, C Mu, Z Sun, X Tong… - Computer Networks, 2022 - Elsevier
With the rapid popularization and development of the Internet of Things (IoT) and 5G
networks, mobile crowdsourcing (MCS) has become an indispensable part in today's …
networks, mobile crowdsourcing (MCS) has become an indispensable part in today's …
Privacy preserving location data publishing: A machine learning approach
Publishing datasets plays an essential role in open data research and promoting
transparency of government agencies. However, such data publication might reveal users' …
transparency of government agencies. However, such data publication might reveal users' …
Privacy preservation in location-based services: A novel metric and attack model
Recent years have seen rising needs for location-based services in our everyday life. Aside
from the many advantages provided by these services, they have caused serious concerns …
from the many advantages provided by these services, they have caused serious concerns …
[HTML][HTML] CD/CV: Blockchain-based schemes for continuous verifiability and traceability of IoT data for edge–fog–cloud
C Martinez-Rendon, JL González-Compeán… - Information Processing …, 2023 - Elsevier
This paper presents a continuous delivery/continuous verifiability (CD/CV) method for IoT
dataflows in edge–fog–cloud. A CD model based on extraction, transformation, and load …
dataflows in edge–fog–cloud. A CD model based on extraction, transformation, and load …