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Joaquín Delgado Fernández
Joaquín Delgado Fernández
PhD Researcher, University of Luxembourg
Verified email at uni.lu
Title
Cited by
Cited by
Year
Privacy-preserving federated learning for residential short-term load forecasting
JD Fernández, SP Menci, CM Lee, A Rieger, G Fridgen
Applied energy 326, 119915, 2022
552022
Federated Learning for Credit Risk Assessment
CM Lee, JD Fernández, SP Menci, A Rieger, G Fridgen
56th Hawaii International Conference on System Sciences, 0
6*
Secure federated learning for residential short term load forecasting
JD Fernández, SP Menci, C Lee, G Fridgen
CoRR, abs/2111.09248, 2021
42021
Agent-based model of initial token allocations: Evaluating wealth concentration in fair launches
JD Fernandez, T Barbereau, O Papageorgiou
arXiv preprint arXiv:2208.10271, 2022
32022
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies
JD Fernandez, M Brennecke, T Barbereau, A Rieger, G Fridgen
arXiv preprint arXiv:2308.02219, 2023
22023
Federated learning as a solution for problems related to intergovernmental data sharing
K Sprenkamp, J Delgado Fernandez, S Eckhardt, L Zavolokina
University of Zurich, 2023
22023
Agent-based Model of Initial Token Allocations: Simulating Distributions post Fair Launch
J DELGADO FERNANDEZ, TJ BARBEREAU, O PAPAGEORGIOU
ACM Transactions on Management Information Systems, 2024
2024
Comparative Analysis of Baseline Models for Rolling Price Forecasts in the German Continuous Intraday Electricity Market
T Hornek, S POTENCIANO MENCI, J DELGADO FERNANDEZ, I Pavić
Proceedings of the International Conference on Applied Energy (ICAE), 2024
2024
Federated Learning in Migration Forecasting
A Amard, J Delgado Fernandez, TJ BARBEREAU, G Fridgen
ICIS 2023, 2023
2023
Breaking data silos with Federated Learning
J DELGADO FERNANDEZ
Unilu-University of Luxembourg, Luxembourg, Luxembourg, 2023
2023
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies
J Delgado Fernandez, M Brennecke, T Barbereau, A Rieger, G Fridgen
arXiv e-prints, arXiv: 2308.02219, 2023
2023
Towards a peer-to-peer residential short-term load forecasting with federated learning
JD Fernandez, SP Menci, I Pavic
2023 IEEE Belgrade PowerTech, 1-6, 2023
2023
Agent-based Model of Initial Token Allocations: Evaluating Wealth Concentration in Fair Launches
J Delgado Fernandez, TJ Barbereau, O Papageorgiou
2022
Scaling Smart Cities with Federated Learning–Balancing Accuracy and Privacy for Building Energy Performance Prediction
J Delgado Fernandez, L Willburger, C Wiethe, S Wenninger, G Fridgen
Available at SSRN 4489420, 0
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