Juan Marcelo Parra Ullauri

According to our database, Juan Marcelo Parra Ullauri authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities.

Juan Marcelo Parra Ullauri, Xunzheng Zhang, Anderson Bravalheri, Shadi Moazzeni, Yulei Wu, Reza Nejabati, Dimitra Simeonidou

IEEE Netw., March, 2024

kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in cloud-edge environments.

Juan Marcelo Parra Ullauri, Hari Madhukumar, Adrian-Cristian Nicolaescu, Xunzheng Zhang, Anderson Bravalheri, Rasheed Hussain, Xenofon Vasilakos, Reza Nejabati, Dimitra Simeonidou

Future Gener. Comput. Syst., 2024

Federated Fairness Analytics: Quantifying Fairness in Federated Learning.

Oscar Dilley, Juan Marcelo Parra Ullauri, Rasheed Hussain, Dimitra Simeonidou

CoRR, 2024

Federated Transfer Component Analysis Towards Effective VNF Profiling.

Xunzheng Zhang, Shadi Moazzeni, Juan Marcelo Parra Ullauri, Reza Nejabati, Dimitra Simeonidou

CoRR, 2024

Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities.

Juan Marcelo Parra Ullauri, Xunzheng Zhang, Anderson Bravalheri, Yulei Wu, Reza Nejabati, Dimitra Simeonidou

CoRR, 2024

Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review.

Wilson Valdez Solis, Juan Marcelo Parra Ullauri, Attila Kertész

IEEE Access, 2024

Joint Network and Computing Resource Optimisation in Distributed Quantum Computing.

Sima Bahrani, Rui Wang, Juan Marcelo Parra Ullauri, Romerson Deiny Oliveira, Reza Nejabati, Dimitra Simeonidou

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

GAN-Based Privacy Abuse Attack on Federated Learning in IoT Networks.

Runzhe Hao, Rasheed Hussain, Juan Marcelo Parra Ullauri, Xenofon Vasilakos, Reza Nejabati, Dimitra Simeonidou

Proceedings of the IEEE INFOCOM 2024, 2024

AI Model Placement for 6G Networks Under Epistemic Uncertainty Estimation.

Liming Huang, Yulei Wu, Juan Marcelo Parra Ullauri, Reza Nejabati, Dimitra Simeonidou

Proceedings of the IEEE International Conference on Communications, 2024

Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems.

Juan Marcelo Parra Ullauri, Oscar Dilley, Hari Madhukumar, Dimitra Simeonidou

Proceedings of the 2nd International Conference on 6G Networking, 2024

A Scalable and Distributed Hierarchical Architecture for Network Monitoring-on-Demand.

Hari Madhukumar, Thomas A. Bower, Xenofon Vasilakos, Juan Marcelo Parra Ullauri, Maria Lema, Dimitra Simeonidou

Proceedings of the 2nd International Conference on 6G Networking, 2024

2023

A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning.

Juan Marcelo Parra Ullauri, Chen Zhen, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang

CoRR, 2023

Federated Hyperparameter Optimisation with Flower and Optuna.

Juan Marcelo Parra Ullauri, Xunzheng Zhang, Anderson Bravalheri, Reza Nejabati, Dimitra Simeonidou

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Privacy Preservation in Kubernetes-based Federated Learning: A Networking Approach.

Juan Marcelo Parra Ullauri, Luis F. Gonzalez, Anderson Bravalheri, Rasheed Hussain, Xenofon Vasilakos, Iván Vidal, Francisco Valera, Reza Nejabati, Dimitra Simeonidou

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems.

Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning.

Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang

Softw. Syst. Model., 2022

History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems.

Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo, Luis Hernán García Paucar

Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

2021

Reward-Reinforced Reinforcement Learning for Multi-agent Systems.

Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo

CoRR, 2021

Towards an architecture integrating complex event processing and temporal graphs for service monitoring.

Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Juan Boubeta-Puig, Nelly Bencomo, Guadalupe Ortiz

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems.

Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo

Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, 2021

2020

Temporal Models for History-Aware Explainability.

Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Luis Hernán García Paucar, Nelly Bencomo

Proceedings of the SAM '20: 12th System Analysis and Modelling Conference, 2020

2019

Towards History-Aware Self-Adaptation with Explanation Capabilities.

Antonio García-Domínguez, Nelly Bencomo, Juan Marcelo Parra Ullauri, Luis Hernán García Paucar

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Querying and Annotating Model Histories with Time-Aware Patterns.

Antonio García-Domínguez, Nelly Bencomo, Juan Marcelo Parra Ullauri, Luis Hernán García Paucar

Proceedings of the 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2019