Hybrid Federated Learning for Multimodal IoT Systems

Multimodal federated learning (FL) targets the intersection of two promising research directions in Internet of Things (IoT) scenarios: 1) leveraging complementary multimodal information to enhance downstream inference performance and 2) conducting distributed training with privacy protection. Howev...

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Veröffentlicht in:	IEEE internet of things journal 2024-11, Vol.11 (21), p.34055-34064
Hauptverfasser:	Peng, Yuanzhe, Wu, Yusen, Bian, Jieming, Xu, Jie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computation Data models Edge computing Feature extraction Federated learning federated learning (FL) Inference Internet of Things Machine learning multimodal Internet of Things (IoT) nonconvex optimization Sensors Servers Task analysis Training
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