Low-Latency Realism Through Randomized Distributed Function Computations: A Shannon Theoretic Approach.

Günlü O, Skorski M, Poor HV

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DOI: 10.3390/e28010086
Published: 2026 Jan 11
Container: Entropy (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/e28010086,
  title = {Low-Latency Realism Through Randomized Distributed Function Computations: A Shannon Theoretic Approach.},
  author = {Günlü O and Skorski M and Poor HV},
  year = {2026},
  journal = {Entropy (Basel, Switzerland)},
  doi = {10.3390/e28010086},
  url = {https://doi.org/10.3390/e28010086}
}

RIS

TY  - JOUR
TI  - Low-Latency Realism Through Randomized Distributed Function Computations: A Shannon Theoretic Approach.
AU  - Günlü O
AU  - Skorski M
AU  - Poor HV
PY  - 2026
JO  - Entropy (Basel, Switzerland)
DO  - 10.3390/e28010086
UR  - https://doi.org/10.3390/e28010086
ER  -

APA

O, G., M, S., & HV, P. (2026). Low-Latency Realism Through Randomized Distributed Function Computations: A Shannon Theoretic Approach.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e28010086

Source records

pubmed · retrieved 2026-09-25T01:15:33.921Z
europe-pmc · retrieved 2026-09-25T01:15:33.941Z
doaj · retrieved 2026-09-25T01:15:33.937Z