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Duda, Leonhard [Author]; Alibabaei, Khadijeh [Author]; Berberi, Lisana [Author]; Kozlov, Valentin [Author]; Streit, Achim [Author]

Investigating Data Distribution Variability Across Devices in Federated Learning: Comparative Analysis of Algorithm Performance

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KITopen (Karlsruhe Institute of Technologie), 2024-06-17
Rudel, Steffi [Author]; Kolb, Lisa [Author]

Federated Learning Enhancing IT-Security (FLEIS) - Projektbericht

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Kiel, Hamburg: ZBW – Leibniz Information Centre for Economics, 2024
Guo, Wei [Author]; Wang, Yijin [Author]; Jiang, Pingyu [Author]

Incentive Mechanism Design for Federated Learning with Stackelberg Game Perspective in the Industrial Scenario

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[S.l.]: SSRN, 2023
Wang, Zhongyi [Author]; Wang, Lu [Author]; Yao, Jianrong [Author]; Chen, Yuangao [Author]; Jiang, Hui [Author]

A Federated Learning Approach with Knowledge Transfer for Credit Scoring

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[S.l.]: SSRN, 2022
Aouedi, Ons [Author] ; Nantes Université [Contributor]; Parrein, Benoît [Contributor]; Piamrat, Kandaraj [Contributor]

Machine learning-Enabled Network Traffic Analysis ; Analyse du trafic réseau grâce à l'apprentissage automatique

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theses.fr, 2022-12-02
Kaymakci, Can [Author]; Baur, Lukas [Author]; Sauer, Alexander [Author]; Herberger, David [Author]; Hübner, Marco [Author]

Federated Machine Learning Architecture for Energy-Efficient Industrial Applications - [published Version]

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Hannover : publish-Ing., 2021

Published in: Proceedings of the Conference on Production Systems and Logistics : CPSL 2021
Duan, Jin-Chuan [Author]

Sharing credit data while respecting privacy : a digital platform for fairer financing of MSMEs

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Tokyo, Japan: Asian Development Bank Institute, [2021]

Published in: Asian Development Bank Institute: Working papers ; 1280
Garin, Marie [Author]; Evgeniou, Theodoros [Author]; Vayatis, Nicolas [Author]

A weighting scheme for one-shot federated learning

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[Fontainebleau]: INSEAD, [2023]

Published in: INSEAD: Faculty & research ; 2023,57
Truhn, Daniel [Author]; Tayebi Arasteh, Soroosh [Author]; Saldanha, Oliver Lester [Author]; Müller-Franzes, Gustav [Author]; Khader, Firas [Author]; Quirke, Philip [Author]; West, Nicholas P. [Author]; Gray, Richard [Author]; Hutchins, Gordon G. A. [Author]; James, Jacqueline A. [Author]; Loughrey, Maurice B. [Author]; Salto-Tellez, Manuel [Author]; Brenner, Hermann [Author]; Brobeil, Alexander [Author]; Yuan, Tanwei [Author]; Chang-Claude, Jenny [Author]; Hoffmeister, Michael [Author]; Försch, Sebastian [Author]; Han, Tianyu [Author]; Keil, Sebastian [Author]; Schulze-Hagen, Maximilian [Author]; Isfort, Peter [Author]; Bruners, Philipp [Author]; Kaissis, Georgios [Author]; [...]

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

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February 2024

Published in: Medical image analysis ; 92(2024) vom: Feb., Artikel-ID 103059, Seite 1-12
Duda, Leonhard Johannes [Author]; Alibabaei, Khadijeh [Author]; Vollmer, Elena [Author]; Klug, Leon [Author]; Benz, Mishal [Author]; Kozlov, Valentin [Author]; Volk, Rebekka [Author]; Goetz, Markus [Author]; Schultmann, Frank [Author]; Streit, Achim [Author]

Federated Learning for Urban Energy Efficiency: Detecting Thermal with UAV-based Imaging and AI

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KITopen (Karlsruhe Institute of Technologie), 2024-06-17
Kong, Lingxuan [Author]; Zheng, Ge [Author]; Brintrup, Alexandra [Author]

A Federated Machine Learning Approach for Order-Level Risk Prediction in Supply Chain Financing

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[S.l.]: SSRN, [2023]
Han, Qiwei [Author]; Lucas, Carolina [Author]; Aguiar, Emila [Author]; Macedo, Patrícia [Author]; Wu, Zhenze [Author]

Towards privacy-preserving digital marketing : an integrated framework for user modeling using deep learning on a data monetization platform

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2023

Published in: Electronic commerce research ; 23(2023), 3 vom: Sept., Seite 1701-1730
Sáinz-Pardo Díaz, Judith [Author]; Heredia Canales, Andrés [Author]; Heredia Cachá, Ignacio [Author]; Tran, Viet [Author]; Nguyen, Giang [Author]; Alibabaei, Khadijeh [Author]; Obregón Ruiz, Marta [Author]; Rebolledo Ruiz, Susana [Author]; López García, Álvaro [Author]

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach

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Association for Computing Machinery, 2024-07-10
Bi, Xuan [Author]; Gupta, Alok [Author]; Yang, Mochen [Author]

Understanding partnership formation and repeated contributions in federated learning : an analytical investigation

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2024

Published in: Management science ; 70(2024), 8 vom: Aug., Seite 4974-4994
Raza, Ali [Author] ; Université de Lille (2022-.) [Contributor]; University of Kent (Canterbury, Royaume-Uni) [Contributor]; Koehl, Ludovic [Contributor]; Li, Shujun [Contributor]; Tran, Kim Phuc [Contributor]

Apprentissage fédéré sécurisé et préservant la confidentialité avec intelligence artificielle explicable pour les systèmes intelligents dans le domaine de la santé ; Secure and Privacy-preserving Federated Learning with Explainable Artificial Intelligence for Smart Healthcare System

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theses.fr, 2023-08-28
Philippenko, Constantin [Author] ; Institut polytechnique de Paris [Contributor]; Dieuleveut, Aymeric [Contributor]; Moulines, Éric [Contributor]

Bidirectional compression for Federated Learning in a heterogeneous setting ; Compression bidirectionnelle pour l'apprentissage fédéré hétérogène

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theses.fr, 2023-09-18
Badar, Maryam [Author]; Nejdl, Wolfgang [Author]; Fisichella, Marco [Author]

FAC-fed: Federated adaptation for fairness and concept drift aware stream classification - [published Version]

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Dordrecht [u.a.] : Springer Science + Business Media B.V, 2023

Published in: Machine Learning 112 (2023), Nr. 8 ; Machine Learning
Xiong, Ruoxuan [Author]; Koenecke, Allison [Author]; Powell, Michael [Author]; Shen, Zhu [Author]; Vogelstein, Joshua T. [Author]; Athey, Susan [Author]

Federated Causal Inference in Heterogeneous Observational Data

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[S.l.]: SSRN, 2023

Published in: Stanford University Graduate School of Business Research Paper
Mestoukirdi, Mohamad [Author] ; Sorbonne université [Contributor]; Gesbert, David [Contributor]; Gresset, Nicolas [Contributor]

Reliable and Communication-Efficient Federated Learning for Future Intelligent Edge Networks ; Apprentissage fédéré fiable et efficace en termes de communication dans les futurs réseaux intelligents

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theses.fr, 2023-12-04
Manimuthu, Arunmozhi [Author]; Venkatesh, V. G. [Author]; Shi, Yangyan [Author]; Sreedharan, V. Raja [Author]; Koh, Lenny [Author]

Design and development of automobile assembly model using federated artificial intelligence with smart contract

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2022

Published in: International journal of production research ; 60(2022), 1, Seite 111-135

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