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Federated Unlearning for Human Activity Recognition
April 8, 2024, 4:41 a.m. | Kongyang Chen, Dongping zhang, Yaping Chai, Weibin Zhang, Shaowei Wang, Jiaxing Shen
cs.LG updates on arXiv.org arxiv.org
Abstract: The rapid evolution of Internet of Things (IoT) technology has spurred the widespread adoption of Human Activity Recognition (HAR) in various daily life domains. Federated Learning (FL) is frequently utilized to build a global HAR model by aggregating user contributions without transmitting raw individual data. Despite substantial progress in user privacy protection with FL, challenges persist. Regulations like the General Data Protection Regulation (GDPR) empower users to request data removal, raising a new query in …
abstract adoption arxiv build cs.cr cs.lg daily data domains evolution federated learning global human internet internet of things iot life progress raw recognition technology type unlearning
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