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Fog computing for next-generation internet of things: fundamental, state-of-the-art and research challenges
In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …
[HTML][HTML] Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
Privacy and robustness in federated learning: Attacks and defenses
As data are increasingly being stored in different silos and societies becoming more aware
of data privacy issues, the traditional centralized training of artificial intelligence (AI) models …
of data privacy issues, the traditional centralized training of artificial intelligence (AI) models …
Decentralized privacy using blockchain-enabled federated learning in fog computing
As the extension of cloud computing and a foundation of IoT, fog computing is experiencing
fast prosperity because of its potential to mitigate some troublesome issues, such as network …
fast prosperity because of its potential to mitigate some troublesome issues, such as network …
Differential privacy techniques for cyber physical systems: A survey
Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …
development of information and communication technologies (ICT). With the provision of …
Edge computing: A survey
In recent years, the Edge computing paradigm has gained considerable popularity in
academic and industrial circles. It serves as a key enabler for many future technologies like …
academic and industrial circles. It serves as a key enabler for many future technologies like …
Deep learning in smart grid technology: A review of recent advancements and future prospects
The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …
a promising landscape for high grid reliability and efficient energy management. This …
Blockchain-based anonymous authentication with key management for smart grid edge computing infrastructure
Achieving low latency and providing real-time services are two of several key challenges in
conventional cloud-based smart grid systems, and hence, there has been an increasing …
conventional cloud-based smart grid systems, and hence, there has been an increasing …
Local differential privacy and its applications: A comprehensive survey
With the rapid development of low-cost consumer electronics and pervasive adoption of next
generation wireless communication technologies, a tremendous amount of data has been …
generation wireless communication technologies, a tremendous amount of data has been …
Towards fair and privacy-preserving federated deep models
The current standalone deep learning framework tends to result in overfitting and low utility.
This problem can be addressed by either a centralized framework that deploys a central …
This problem can be addressed by either a centralized framework that deploys a central …