Work

HFedLMR: Personalized and Hierarchical Federated Learning for Consumer Healthcare IoT With Non-IID Data

Year: 2025

Type: article

Source: IEEE Transactions on Consumer Electronics

DOI: 10.1109/tce.2025.3595845

Authors: Charitha Elvitigala, Ibrahim Khalil, Mohammed Atiquzzaman

Institutions: RMIT University, University of Oklahoma

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Australian Research Council

Award: Constraint-based Privacy Preserving BioSignal Data Management on Blockchain

OpenAlex ID: W4412985346

FWCI: 1.649

Cites: 25

Cited by: 4

Related to: 10