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HARTMANN Lena Maria

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG

ORCID
0000-0002-2179-3703
Main Referenced Co-authors
BOUVRY, Pascal  (6)
DANOY, Grégoire  (6)
ALSWAITTI, Mohammed  (3)
Main Referenced Keywords
Federated Learning (3); Federated Multi-objective Learning (3); Federated Multiobjective Learning (2); Multi-objective Learning (2); Personalized Federated Learning (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > PCOG - Parallel Computing & Optimization Group (3)
ULHPC - University of Luxembourg: High Performance Computing (2)
Main Referenced Disciplines
Computer science (5)
Engineering, computing & technology: Multidisciplinary, general & others (1)

Publications (total 6)

The most downloaded
164 downloads
HARTMANN, L. M., DANOY, G., ALSWAITTI, M., & BOUVRY, P. (2023). JoVe-FL - A Joint-embedding Vertical Federated Learning Framework [Paper presentation]. International Conference on Agents and Artificial Intelligence. doi:10.5220/0011802600003393 https://hdl.handle.net/10993/55869

HARTMANN, L. M., DANOY, G., & BOUVRY, P. (2025). FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences. ACM Transactions on Modeling and Performance Evaluation of Computing Systems. doi:10.1145/3708984
Peer reviewed

HARTMANN, L. M., DANOY, G., & BOUVRY, P. (17 September 2024). Heterogeneity: An Open Challenge for Federated On-board Machine Learning [Paper presentation]. SPAICE conference, United Kingdom.
Peer reviewed

HARTMANN, L. M., DANOY, G., & BOUVRY, P. (2024). Introducing FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences [Paper presentation]. Multi-Objective Decision Making Workshop at ECAI 2024, Santiago de Compostela, Spain.
Peer reviewed

HARTMANN, L. M., DANOY, G., ALSWAITTI, M., & BOUVRY, P. (December 2023). MOFL/D: A Federated Multi-objective Learning Framework with Decomposition [Paper presentation]. International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023 (FL@FM-NeurIPS’23), New Orleans, United States - Louisiana.
Peer reviewed

HARTMANN, L. M., DANOY, G., ALSWAITTI, M., & BOUVRY, P. (2023). JoVe-FL - A Joint-embedding Vertical Federated Learning Framework [Paper presentation]. International Conference on Agents and Artificial Intelligence. doi:10.5220/0011802600003393

HARTMANN, L. M., DANOY, G., ALSWAITTI, M., & BOUVRY, P. (2023). A split-training approach to JoVe-FL [Paper presentation]. International Conference on Optimization and Learning.
Peer reviewed

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