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FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
March 25, 2024, 4:41 a.m. | Jianjun Huang, Lixin Ye, Li Kang
cs.LG updates on arXiv.org arxiv.org
Abstract: In the Industrial Internet of Things (IoT), a large amount of data will be generated every day. Due to privacy and security issues, it is difficult to collect all these data together to train deep learning models, thus the federated learning, a distributed machine learning paradigm that protects data privacy, has been widely used in IoT. However, in practical federated learning, the data distributions usually have large differences across devices, and the heterogeneity of data …
abstract algorithm arxiv cs.dc cs.lg data decentralized deep learning distributed every federated learning generated industrial industrial internet of things internet internet of things iot machine privacy privacy and security security together train type will
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