CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing
| Autor: | Wei Xiao, Yipeng Zhou, Laizhong Cui, Zhongxing Ming, Xiaoxin Su, Ziteng Chen, Shu Yang |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Speedup
Computer Networks and Communications business.industry Computer science Cloud computing MovieLens Computer Science Applications Upload Hardware and Architecture Signal Processing Cache Enhanced Data Rates for GSM Evolution business Edge computing Information Systems Computer network Data compression |
| Zdroj: | IEEE Internet of Things Journal. 9:14151-14161 |
| ISSN: | 2372-2541 |
| Popis: | Edge computing architectures can help us quickly process the data collected by Internet of Things (IoT) and caching files to edge nodes can speed up the response speed of IoT devices requesting files. Blockchain architectures can help us ensure the security of data transmitted by IoT. Therefore, we have proposed a system which combines IoT devices, edge nodes, remote cloud and blockchain. In the system, we designed a new algorithm in which blockchain-assisted Compressed algoRithm of fEderated leArning is applied for conTent caching, called CREAT to predict cached files. In CREAT algorithm, each edge node uses local data to train a model and then uses the model to learn the features of users and files, so as to predict popular files to improve cache hit rate. In order to ensure the security of edge nodes’ data, we use federated learning (FL) to enable multiple edge nodes to cooperate in training without sharing data. In addition, for the purpose of reducing communication load in FL, we will compress gradients uploaded by edge nodes to reduce the time required for communication. What’s more, in order to ensure the security of the data transmitted in CREAT algorithm, we have incorporated blockchain technology in the algorithm. We design four smart contracts for decentralized entities to record and verify the transactions to ensure the security of data. We used MovieLens data sets for experiments and we can see that CREAT greatly improves the cache hit rate and reduces the time required to upload data. |
| Databáze: | OpenAIRE |
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