… Federated Learning (FL) is used to ensure the cooperation … FL, this paper uses a decentralized
FL training method based on … of the Decentralized Federated Reinforcement Learning (…

… Internet of Things (IoT) devices and resources affects severely the training efficiency and
accuracy of Federated Learning … -efficient Hierarchical Collaborative Federated Learning (HCFL…

… Abstract: Federated learning allows the effective flow of data value without leaving the local
… protection in the Internet of Things (IoT) scenario. However, federated learning systems are …

… and fully decentralized parallel architecture. The core module of edge intelligent collaborative
… 分布式机器学习(Distributed machine learning,DML) 需要较少的计算资 源,可以有效地实现…

… Blockchain technology has the characteristics of decentralization, … internet of things with
deep reinforcement learning [ J ]. IEEE … federated learning for secure data sharing in internet of …

… -end collaborative training in a decentralized manner for … machine learning and mobile
neural network) is proposed for recommender systems based on federated machine learning (…

… to share the local private data of deep reinforcement learning agents. Each agent device’s …
common deep reinforcement learning algorithms, general federated reinforcement learning …

… 数据的情况下进行机器学习(Machine Learning, ML). 虽然相比… of federated learning and split
learning for internet of things[C… -efficient learning of deep networks from decentralized data[C…

… -edge-end collaborative personalized federated learning model for … Semisupervised deep
reinforcement learning in support of … -aware federated learning with multi-source decentralized …

… Although federated learning is a promising machine learning … collaborate on training machine
learning models without sharing … the security issues of federated learning, which is of great …