Bibliographische Detailangaben
| Titel: |
Effect of compression on reconstruction quality under random communication topology. |
| Autoren: |
Victoria Erofeeva, Oleg Granichin, Vikentii Pankov, Zeev Volkovich |
| Publikationsjahr: |
2025 |
| Schlagwörter: |
Cell Biology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, world datasets show, unlike traditional methods, trained neural network, dynamic network changes, system &# 8217, minimal communication overhead, efficient decentralized clustering, system adapts, clustering structure, clustering accuracy, %22">xlink ">, static topologies, paper presents, iot ), immediate results, highly suitable, generate compact, fly processing, dynamical multi, distributed environments, distributed aggregation, dimensionality reduction, data must, consistent summaries, consensus protocol |
| Beschreibung: |
The plot shows the relationship between clustering quality (measured by relative mean absolute error between predicted and ground-truth centroids) and the total transmitted information volume across all agents. Two compression modes are evaluated: 14x and 7x. The shaded areas represent variance across 30 runs with random topologies, where each pair of agents has a 0.02 probability of being connected. |
| Publikationsart: |
still image |
| Sprache: |
unknown |
| Relation: |
https://figshare.com/articles/figure/Effect_of_compression_on_reconstruction_quality_under_random_communication_topology_/29667954 |
| DOI: |
10.1371/journal.pone.0327396.g002 |
| Verfügbarkeit: |
https://doi.org/10.1371/journal.pone.0327396.g002
https://figshare.com/articles/figure/Effect_of_compression_on_reconstruction_quality_under_random_communication_topology_/29667954 |
| Rights: |
CC BY 4.0 |
| Dokumentencode: |
edsbas.E741334B |
| Datenbank: |
BASE |
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