Wireless Federated Learning Based Building Temperature Estimation With Latency Constraint

Zhang, Kemin (2025) Wireless Federated Learning Based Building Temperature Estimation With Latency Constraint. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

The paper proposes a novel approach for temperature estimation in buildings using wireless federated learning (FL) while considering latency constraints. The proposed model utilizes a hierarchical federated learning architecture within a wireless network, incorporating base stations (BS), access poi

Item Type: Article
Date Deposited: 04 Mar 2026 20:21
Last Modified: 10 Apr 2026 17:47
URI: http://eprints.eai.eu/id/eprint/60306

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