Remote big data management tools, sensing and computing technologies, and visual perception and environment mapping algorithms in the Internet of Robotic …
M Andronie, G Lăzăroiu, OL Karabolevski… - Electronics, 2022 - mdpi.com
The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …
Security and privacy in IoT using machine learning and blockchain: Threats and countermeasures
Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
An approach for peer-to-peer federated learning
T Wink, Z Nochta - 2021 51st Annual IEEE/IFIP International …, 2021 - ieeexplore.ieee.org
We present a novel approach for the collaborative training of neural network models in
decentralized federated environments. In the iterative process a group of autonomous peers …
decentralized federated environments. In the iterative process a group of autonomous peers …
Blockchain management and machine learning adaptation for IoT environment in 5G and beyond networks: A systematic review
Keeping in view of the constraints and challenges with respect to big data analytics along
with security and privacy preservation for 5G and B5G applications, the integration of …
with security and privacy preservation for 5G and B5G applications, the integration of …
Privacy-preserving federated learning for scalable and high data quality computational-intelligence-as-a-service in Society 5.0
Training supervised machine learning models like deep learning requires high-quality
labelled datasets that contain enough samples from various categories and specific cases …
labelled datasets that contain enough samples from various categories and specific cases …
Developing a Decentralized AI Model Training Framework Using Blockchain Technology
This research addresses the critical challenges in traditional centralized AI model training,
focusing on data privacy, security, and the risks associated with centralized data …
focusing on data privacy, security, and the risks associated with centralized data …
Bibliometric analysis of the blockchain scientific evolution: 2014–2020
J Luo, Y Hu, Y Bai - IEEE Access, 2021 - ieeexplore.ieee.org
As one of the disruptive technologies in the fourth industrial revolution, Blockchain has
irrevocably changed how people live and work. Many scholars have studied the Blockchain …
irrevocably changed how people live and work. Many scholars have studied the Blockchain …
Data Collaboratives with the Use of Decentralised Learning
MK Zuziak, O Hinrichs, A Abdrassulova… - Proceedings of the 2023 …, 2023 - dl.acm.org
The endeavor to find appropriate data governance frameworks capable of reconciling
conflicting interests in data has dramatically gained importance across disciplines and has …
conflicting interests in data has dramatically gained importance across disciplines and has …
Computer-aided-diagnosis as a service on decentralized medical cloud for efficient and rapid emergency response intelligence
The COVID-19 pandemic resulted in a significant increase in the workload for the
emergency systems and healthcare providers all around the world. The emergency systems …
emergency systems and healthcare providers all around the world. The emergency systems …
Secure peer-to-peer learning using feature embeddings
With more personal devices being connected to the internet, individuals are becoming
increasingly concerned about privacy. Therefore, it is important to develop machine learning …
increasingly concerned about privacy. Therefore, it is important to develop machine learning …