Towards Collaborative Edge Intelligence: Blockchain-Based Data Valuation and Scheduling for Improved Quality of Service

• Published in: Future internet Vol. 16; no. 8; p. 267
• Main Authors: Du, Yao, Wang, Zehua, Leung, Cyril, Leung, Victor C. M.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2024
• Subjects: Accuracy; Adaptive sampling; Algorithms; Artificial intelligence; Blockchain; Cloud computing; Collaboration; Curricula; curriculum learning; Data integrity; data valuation; Datasets; Devices; distributed machine learning; Distributed processing; Edge computing; edge intelligence; Efficiency; incentive mechanism; Internet of Things; Knapsack problem; Machine learning; Mobile computing; Network latency; Privacy; Quality of service; Quality of service architectures; Scheduling; Simulation methods; Swarm intelligence; Task scheduling; Valuation

Collaborative edge intelligence, a distributed computing paradigm, refers to a system where multiple edge devices work together to process data and perform distributed machine learning (DML) tasks locally. Decentralized Internet of Things (IoT) devices share knowledge and resources to improve the qu...