2021
DOI: 10.3390/fi13020048
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Blockchain-Enabled Edge Intelligence for IoT: Background, Emerging Trends and Open Issues

Abstract: Blockchain, a distributed ledger technology (DLT), refers to a list of records with consecutive time stamps. This decentralization technology has become a powerful model to establish trust among trustless entities, in a verifiable manner. Motivated by the recent advancement of multi-access edge computing (MEC) and artificial intelligence (AI), blockchain-enabled edge intelligence has become an emerging technology for the Internet of Things (IoT). We review how blockchain-enabled edge intelligence works in the … Show more

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Cited by 29 publications
(11 citation statements)
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References 112 publications
(153 reference statements)
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“…Blockchain is regarded as a disruptive powerful technology that has potential to radically reshape the society and the world economy through decentralized governing structures [56], [57]. The Blockchain idea is captivating because for the first time in human history people from distant locations can securely transact within a massive peer-to-peer network with decentralized/distributed management (i.e., no central authority).…”
Section: Blockchain and Distributed Ledger Technologiesmentioning
confidence: 99%
“…Blockchain is regarded as a disruptive powerful technology that has potential to radically reshape the society and the world economy through decentralized governing structures [56], [57]. The Blockchain idea is captivating because for the first time in human history people from distant locations can securely transact within a massive peer-to-peer network with decentralized/distributed management (i.e., no central authority).…”
Section: Blockchain and Distributed Ledger Technologiesmentioning
confidence: 99%
“…This process dramatically reduces the wastage of computing power and improves the learning power of the edge node through the learning power of other edge nodes. Du et al [131] reviewed the existing literature on Blockchain-enabled edge intelligence in the IoT domain, identified emerging trends, and suggested open issues for further research, including transaction rejection, selfish learning, and fork issues. Fork problems arise when edge nodes disagree on the same learning model and alternative chains (i.e., forked chains) emerge.…”
Section: Edge Ai and Blockchain Convergencementioning
confidence: 99%
“…Smart contracts are not suitable for computationally intensive problems because the execution cost of transactions is proportional to their processing complexity [27,28].…”
Section: On-chain-based Solution For a 3-bus Network Using Dc-opf App...mentioning
confidence: 99%