Local Data Processing is a data management paradigm that restricts data analysis and transformation to the device or network segment where data is generated, thereby minimizing data transmission to centralized systems by processing information at its source.
229
Publications
13.1K
Citations
835
Authors
326
Institutions
Publications per year
2017–2026
96
Parents
Publications
229
Alberto Cerpa, Jeremy Elson, Michael Hamilton et al. · 2001 · 934 citations
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data
Yujing Chen, Yue Ning, Martin Slawski et al. · 2020 · 425 citations
Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach
Dongdong Ye, Rong Yu, Miao Pan et al. · IEEE Access · 2020 · 380 citations · Full text
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Authors
835
- LG
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- JZ
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- MH
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1–5 of 835
Institutions
326
Carnegie Mellon University
Pittsburgh, United States
5 h-index
14 publications
709 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
15 publications
1.6K citations
University of Toronto
Toronto, Canada
5 h-index
16 publications
794 citations
Princeton University
Princeton, United States
4 h-index
6 publications
1.2K citations
Stevens Institute of Technology
Hoboken, United States
3 h-index
3 publications
453 citations
University of Minnesota
Minneapolis, United States
3 h-index
6 publications
976 citations
University of California, Berkeley
Berkeley, United States
3 h-index
17 publications
285 citations
Tel Aviv University
Tel Aviv, Israel
3 h-index
5 publications
114 citations
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Venues
- IEEE Access
6 publications · 551 citations
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- arXiv (Cornell University)
Repository · 6 publications · 691 citations
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- Sensors
4 publications · 140 citations
5
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- Integral Equations and Operator Theory
3 publications · 64 citations
3
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- IEEE Communications Magazine
3 publications · 1.1K citations
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