Model-based Aggregation
Model-Based Aggregation is a state aggregation method that employs an explicitly defined computational or mathematical model to structure and guide the grouping of states based on learned or assumed system dynamics, distinguishing it from heuristic or data-driven approaches.
127
Publications
8.5K
Citations
452
Authors
206
Institutions
Publications per year
2017–2026
70
Parents
127
Federated Learning via Over-the-Air Computation
Kai Yang, Tao Jiang, Yuanming Shi et al. · IEEE Transactions on Wireless Communications · 2020 · 1K citations
Aggregation of Variables in Dynamic Systems
Herbert A. Simon, Albert Ando · Econometrica · 1961 · 570 citations
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206
Tsinghua University
Beijing, China
6 h-index
19 publications
1.7K citations
ShanghaiTech University
Shanghai, China
4 h-index
16 publications
4.2K citations

Sun Yat-sen University
Guangzhou, China
4 h-index
17 publications
2.8K citations
Singapore University of Technology and Design
Singapore, Singapore
3 h-index
4 publications
219 citations
University of Southern California
Los Angeles, United States
3 h-index
8 publications
710 citations
Xiamen University
Xiamen, China
3 h-index
4 publications
281 citations

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
9 publications
361 citations
Guangzhou University
Guangzhou, China
3 h-index
9 publications
991 citations
1–8 of 206
Repository · 7 publications · 182 citations
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5 publications · 1.6K citations
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5 publications · 274 citations
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3 publications · 134 citations
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3 publications · 55 citations
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