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Huang, J. (author), Hong, C. (author), Liu, Yang (author), Chen, Lydia Y. (author), Roos, S. (author)Federated learning (FL) enables collaborative learning between parties, called clients, without sharing the original and potentially sensitive data. To ensure fast convergence in the presence of such heterogeneous clients, it is imperative to timely select clients who can effectively contribute to learning. A realistic but overlooked case of...conference paper 2023
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Menenti, M. (author), Li, X. (author), Wang, J. (author), Vereecken, H. (author), Li, J. (author), Mancini, M. (author), Liu, Q. (author), Jia, L. (author), Li, J. (author), Kuenzer, C. (author), Huang, S. (author), Yesou, H. (author), Wen, J. (author), Kerr, Y. (author), Cheng, X. (author), Gourmelen, N. (author), Ke, C. (author), Ludwig, R. (author), Lin, H. (author), Eineder, M. (author), Ma, Y. (author), Su, Z.B. (author)Ten Dragon 3 projects deal with hydrologic and cryosphere processes, with a focus on the Himalayas and Qinghai – Tibet Plateau, but not limited to that. At the 1st Dragon 3 Progress Symposium in 2013 a significant potential for a better and deeper integration appeared very clearly and we worked out an overview of the ten projects identifying...conference paper 2015