… [96] 2017 The authors in this paper proposed a distributed Blockchain-based model. The
proposed system One miner is UISed fo COnfrol The Communia fion Within The Smarf hOme …

… has transformed the landscape of machine learning… data quality, privacy, and scalability
remain significant considerations in harnessing the full potential of big data for machine learning …

… distribution of a certain number of nodes in the range of 0 to 19 is that all malicious nodes are
distributed in … We have constructed a PoS blockchain based on our reputation mechanism, …

… big data process. In this context, envision a reliable distributed cloud models to improve
the … with low latency and less power consumption, to improve the quality of the wireless …

… to the era of big data, rendering the data security and privacy … learning, as a novel pattern
for distributed machine learning, … -preserving deep learning with blockchain-based incentive [J]…

… Focus on the need for multi-party data for distributed machine learning model training. … ),哈
希锁定(Hash-locking),分布式私钥控制 (distributed private key control),公证人+侧链混合 机制(…

… distribution of a certain number of nodes in the range of 0 to 19 is that all malicious nodes are
distributed in … We have constructed a PoS blockchain based on our reputation mechanism, …

… , but it easily leads to data privacy leakage and causes excessive … learning (FL) is a distributed
machine learning framework that stores data locally, which can effectively protect the data …

… 利用区块链和深度强化学习(deep reinforcement learning,DRL)… A platform solution of dataquality
improvement for Internet- of- … Blockchain based data integrity service framework for IoT …

… benefits from the technical advantages of distributed consensus and decentralized trust in
blockchain, and also promotes the deep integration of blockchain technology and economic …