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161by Lee, Haeyun, Chai, Young Jun, Joo, Hyunjin, Lee, Kyungsu, Hwang, Jae Youn, Kim, Seok-Mo, Kim, Kwangsoon, Nam, Inn-Chul, Choi, June Young, Yu, Hyeong Won, Lee, Myung-Chul, Masuoka, Hiroo, Miyauchi, Akira, Lee, Kyu Eun, Kim, Sungwan, Kong, Hyoun-Joong“... BackgroundFederated learning is a decentralized approach to machine...”
Published 2021-05-01
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163by Alqahtani, F., Bhattacharya, P., Bhushan, B., Florea, B.C, Prasad, V.K, Tanwar, S., Taralunga, D.D, Tolba, A., Verma, A.Subjects: “...federated learning...”
Published 2023
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167by George Hatzivasilis, Sotiris Ioannidis, Konstantinos Fysarakis, George Spanoudakis, Nikos PapadakisSubjects: “...federated learning...”
Published 2021-08-01
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174by Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobiezky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard MoserSubjects: “...federated learning...”
Published 2021-12-01
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176by Mohamed Massaoudi, Haitham Abu-Rub, Shady S. Refaat, Ines Chihi, Fakhreddine S. OueslatiSubjects: “...distributed and federated learning...”
Published 2021-01-01
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179by Geleijnse, G., Martin, F., Moncada-Torres, A., Smits, D., Van Beusekom, B., Veen, L.Subjects: “...Federated learning...”
Published 2022
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180Published 2020“.... The second half studies problem of iterative training in Federated Learning. A system with a single parameter...”
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Doctoral Thesis