Blockchain-empowered federated learning: Challenges, solutions, and future directions
Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …
across multiple devices holding local data samples without exchanging them. There are …
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 learning-based incentive mechanism for federated learning
Internet of Things (IoT) generates large amounts of data at the network edge. Machine
learning models are often built on these data, to enable the detection, classification, and …
learning models are often built on these data, to enable the detection, classification, and …
A stackelberg game approach toward socially-aware incentive mechanisms for mobile crowdsensing
Mobile crowdsensing has shown great potential in addressing large-scale data sensing
problems by allocating sensing tasks to pervasive mobile users. The mobile users will …
problems by allocating sensing tasks to pervasive mobile users. The mobile users will …
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 …
Multi-agent DRL for joint completion delay and energy consumption with queuing theory in MEC-based IIoT
G Wu, Z Xu, H Zhang, S Shen, S Yu - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract In the Industrial Internet of Things (IIoT), there exist numerous sensor devices with
weak computing power and small energy storage. To meet the real-time and big data …
weak computing power and small energy storage. To meet the real-time and big data …
Hybrid approach for detection of malicious profiles in twitter
SR Sahoo, BB Gupta - Computers & Electrical Engineering, 2019 - Elsevier
Emergence of social media invokes social actors to share their information digitally.
Moreover, it enables them to maintain their links with other people worldwide. Due to its …
Moreover, it enables them to maintain their links with other people worldwide. Due to its …
Anchor-assisted and vote-based trustworthiness assurance in smart city crowdsensing
Smart city sensing calls for crowdsensing via mobile devices that are equipped with various
built-in sensors. As incentivizing users to participate in distributed sensing is still an open …
built-in sensors. As incentivizing users to participate in distributed sensing is still an open …
Frameworks for privacy-preserving mobile crowdsensing incentive mechanisms
With the rapid growth of smartphones, mobile crowdsensing emerges as a new paradigm
which takes advantage of the pervasive sensor-embedded smartphones to collect data …
which takes advantage of the pervasive sensor-embedded smartphones to collect data …
Lightweight digital twin and federated learning with distributed incentive in air-ground 6G networks
The sixth-generation (6G) wireless network is conceptualized to provide ubiquitous and
reliable network access through effective inter-networking among space, air, and terrestrial …
reliable network access through effective inter-networking among space, air, and terrestrial …