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Juan Marcelo Parra Ullauri
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2020 – today
- 2024
- [j5]Wilson Valdez Solis
, Juan Marcelo Parra Ullauri
, Attila Kertész
:
Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review. IEEE Access 12: 68015-68060 (2024) - [j4]Juan Marcelo Parra Ullauri
, Hari Madhukumar, Adrian-Cristian Nicolaescu
, Xunzheng Zhang
, Anderson Bravalheri, Rasheed Hussain, Xenofon Vasilakos
, Reza Nejabati, Dimitra Simeonidou:
kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in cloud-edge environments. Future Gener. Comput. Syst. 157: 558-572 (2024) - [j3]Juan Marcelo Parra Ullauri
, Xunzheng Zhang
, Anderson Bravalheri
, Shadi Moazzeni
, Yulei Wu
, Reza Nejabati
, Dimitra Simeonidou
:
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities. IEEE Netw. 38(2): 9-17 (2024) - [c11]Liming Huang, Yulei Wu, Juan Marcelo Parra Ullauri, Reza Nejabati, Dimitra Simeonidou:
AI Model Placement for 6G Networks Under Epistemic Uncertainty Estimation. ICC 2024: 5521-5526 - [c10]Runzhe Hao, Rasheed Hussain, Juan Marcelo Parra Ullauri, Xenofon Vasilakos, Reza Nejabati, Dimitra Simeonidou:
GAN-Based Privacy Abuse Attack on Federated Learning in IoT Networks. INFOCOM (Workshops) 2024: 1-2 - [c9]Sima Bahrani, Rui Wang, Juan Marcelo Parra Ullauri, Romerson Deiny Oliveira, Reza Nejabati, Dimitra Simeonidou:
Joint Network and Computing Resource Optimisation in Distributed Quantum Computing. OFC 2024: 1-3 - [i5]Juan Marcelo Parra Ullauri, Xunzheng Zhang, Anderson Bravalheri, Yulei Wu, Reza Nejabati, Dimitra Simeonidou:
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities. CoRR abs/2401.03878 (2024) - [i4]Liming Huang, Yulei Wu, Juan Marcelo Parra Ullauri, Reza Nejabati, Dimitra Simeonidou:
AI Model Placement for 6G Networks under Epistemic Uncertainty Estimation. CoRR abs/2402.11245 (2024) - [i3]Xunzheng Zhang, Shadi Moazzeni, Juan Marcelo Parra Ullauri, Reza Nejabati, Dimitra Simeonidou:
Federated Transfer Component Analysis Towards Effective VNF Profiling. CoRR abs/2404.17553 (2024) - 2023
- [c8]Juan Marcelo Parra Ullauri
, Luis F. Gonzalez, Anderson Bravalheri, Rasheed Hussain
, Xenofon Vasilakos
, Iván Vidal, Francisco Valera, Reza Nejabati, Dimitra Simeonidou:
Privacy Preservation in Kubernetes-based Federated Learning: A Networking Approach. INFOCOM Workshops 2023: 1-7 - [c7]Juan Marcelo Parra Ullauri
, Xunzheng Zhang
, Anderson Bravalheri
, Reza Nejabati
, Dimitra Simeonidou
:
Federated Hyperparameter Optimisation with Flower and Optuna. SAC 2023: 1209-1216 - [i2]Juan Marcelo Parra Ullauri, Chen Zhen, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
:
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning. CoRR abs/2303.05186 (2023) - 2022
- [j2]Juan Marcelo Parra Ullauri
, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig
, Guadalupe Ortiz
, Shufan Yang:
Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning. Softw. Syst. Model. 21(3): 1091-1113 (2022) - [j1]Changgang Zheng
, Shufan Yang
, Juan Marcelo Parra Ullauri
, Antonio García-Domínguez
, Nelly Bencomo
:
Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 479-488 (2022) - [c6]Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo, Luis Hernán García Paucar:
History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems. MoDELS (Companion) 2022: 286-295 - 2021
- [c5]Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo:
From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems. MoDELS (Companion) 2021: 807-816 - [c4]Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Juan Boubeta-Puig
, Nelly Bencomo, Guadalupe Ortiz
:
Towards an architecture integrating complex event processing and temporal graphs for service monitoring. SAC 2021: 427-435 - [i1]Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo:
Reward-Reinforced Reinforcement Learning for Multi-agent Systems. CoRR abs/2103.12192 (2021) - 2020
- [c3]Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Luis Hernán García Paucar
, Nelly Bencomo:
Temporal Models for History-Aware Explainability. SAM 2020: 155-164
2010 – 2019
- 2019
- [c2]Antonio García-Domínguez, Nelly Bencomo, Juan Marcelo Parra Ullauri, Luis Hernán García Paucar:
Querying and Annotating Model Histories with Time-Aware Patterns. MoDELS 2019: 194-204 - [c1]Antonio García-Domínguez, Nelly Bencomo, Juan Marcelo Parra Ullauri, Luis Hernán García Paucar:
Towards History-Aware Self-Adaptation with Explanation Capabilities. FAS*W@SASO/ICAC 2019: 18-23
Coauthor Index
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last updated on 2024-09-04 00:30 CEST by the dblp team
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