GTG-CoL: A New Decentralized Federated Learning Based on Consensus for Dynamic Networks. - Miguel Rebollo; Jaime Andres Rincon; Luis Hernández 001; Francisco Enguix Andrés; Carlos Carrascosa (PAAMS, 2023)

Consensus-Based Learning for MAS: Definition, Implementation and Integration in IVEs. - Carlos Carrascosa; Francisco Enguix Andrés; Miguel Rebollo; Jaime Andres Rincon (Int. J. Interact. Multim. Artif. Intell., 2023)

Comparative Study of Federated Learning Algorithms Based on SPADE Agents. - Francisco Enguix; Saúl Cerdá Peris; Jaime Andres Rincon; Carlos Carrascosa (IDEAL (2), 2024)

Introducing Coalitions to Improve the Performance of Federated Learning Consensus-Based Algorithms. - Francisco Enguix; Jaime Andres Rincon; Carlos Carrascosa (PAAMS (Workshops), 2024)

Demo of the Agri-RO5 Architecture for Agrirobot Fleet Simulation. - Jorge Gutiérrez-Cejudo; Francisco Enguix Andrés; Marin Lujak; Carlos Carrascosa; Luis Hernández 001; Miguel Rebollo; Alberto Fernández 002 (PAAMS, 2024)

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. - Miguel Rebollo; Jaime Andres Rincon; Luis Hernández 001; Francisco Enguix Andrés; Carlos Carrascosa (Sensors, 2024)

Exploring Federated Learning Tendencies Using a Semantic Keyword Clustering Approach. - Francisco Enguix Andrés; Carlos Carrascosa; Jaime Andres Rincon (Inf., 2024)