Carlos
Carrascosa Casamayor
2026
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Heterogeneous Communication in Decentralized Federated Learning
Lecture Notes in Computer Science
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Royal FLush: A MAS-Based Platform for Decentralized Federated Learning Based on SPADE Agents
Lecture Notes in Computer Science
2025
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Comparative Study of Federated Learning Algorithms Based on SPADE Agents
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Introducing Coalitions to Improve the Performance of Federated Learning Consensus-Based Algorithms
Communications in Computer and Information Science
2024
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Asynchronous consensus for multi-agent systems and its application to Federated Learning
Engineering Applications of Artificial Intelligence, Vol. 135
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Evaluation of Deep Learning Techniques for Plant Disease Detection
Computer Science and Information Systems, Vol. 21, Núm. 1, pp. 223-243
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Exploring Federated Learning Tendencies Using a Semantic Keyword Clustering Approach
Information (Switzerland), Vol. 15, Núm. 7
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Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks
Sensors, Vol. 24, Núm. 4
2023
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Cognitive Assistant for Physical Exercise Monitoring in Hand Rehabilitation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Flexible Agent Architecture: Mixing Reactive and Deliberative Behaviors in SPADE
Electronics (Switzerland), Vol. 12, Núm. 3
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GTG-CoL: A New Decentralized Federated Learning Based on Consensus for Dynamic Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Pre-processing Techniques and Model Aggregation for Plant Disease Prevention
Communications in Computer and Information Science
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Robust Multi-Sensor Consensus Plant Disease Detection Using the Choquet Integral †
Sensors, Vol. 23, Núm. 5