Cross-device Data Distribution
Cross-Device Data Distribution is a methodological framework in cross-device collaborative visualization that governs the organization, allocation, and synchronization of visual data across heterogeneous devices to enable coherent and interactive multi-device visual analytics.
14
Publications
724
Citations
49
Authors
26
Institutions
Publications per year
2017–2026
9
14
The MR Toolkit Peers Package and experiment
Chris Shaw, Michael Green · 2002 · 63 citations
Dynamic Sample Selection for Federated Learning with Heterogeneous Data in Fog Computing
Lingshuang Cai, Di Lin, Jiale Zhang et al. · 2020 · 45 citations
Tom Horak, Andreas Mathisen, Clemens Nylandsted Klokmose et al. · 2019 · 40 citations
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26

Aarhus University
Aarhus, Denmark
2 h-index
4 publications
152 citations

University of Alberta
Edmonton, Canada
1 h-index
2 publications
126 citations
University of Applied Sciences Upper Austria
Wels, Austria
1 h-index
3 publications
108 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
1 h-index
1 publications
45 citations

National and Kapodistrian University of Athens
Athens, Greece
1 h-index
4 publications
48 citations
University of Luxembourg
Luxembourg, Luxembourg
1 h-index
2 publications
38 citations
United Arab Emirates University
Al Ain, United Arab Emirates
1 h-index
1 publications
19 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
2 publications
42 citations
1–8 of 26
Repository · 2 publications · 377 citations
2
h-index
1 publications · 24 citations
1
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TPDS · 1 publications · 12 citations
1
h-index
1 publications · 38 citations
1
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IOJCAZ · 1 publications · 19 citations
1
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