Information Fusion
Decentralized Federated Learning with Multimodal Prototypes for Heterogeneous Data
Quick facts
- Year
- 2026
- Venue
- Information Fusion
- Identifier
- martinezbeltran2026decentralized
Suggested citation
Enrique Tomás Martínez Beltrán, Gérôme Bovet, Gregorio Martínez Pérez, Alberto Huertas Celdrán (2026). Decentralized Federated Learning with Multimodal Prototypes for Heterogeneous Data. Information Fusion.
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Related publications
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Asynchronous Cache-based Aggregation with Fairness and Filtering for Decentralized Federated Learning
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Industry 4.0 has brought numerous advantages, such as increasing productivity through automation. However, it also presents major cybersecurity issues, such as cyberattacks affecting industrial processes. Federated Learn...
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