التفاصيل البيبلوغرافية
| العنوان: |
A penalty ADMM with quantized communication for distributed optimization over multi-agent systems |
| المؤلفون: |
Liu, Chenyang, Dou, Xiaohua, Fan, Yuan, Cheng, Songsong |
| المجموعة: |
Czech Academy of Sciences: dKNAV / Knihovna Akademie věd České Republiky |
| مصطلحات موضوعية: |
quantized communication, distributed optimization, alternating direction method of multipliers (ADMM), constrained optimization |
| جغرافية الموضوع: |
392-417 |
| الوصف: |
In this paper, we design a distributed penalty ADMM algorithm with quantized communication to solve distributed convex optimization problems over multi-agent systems. Firstly, we introduce a quantization scheme that reduces the bandwidth limitation of multi-agent systems without requiring an encoder or decoder, unlike existing quantized algorithms. This scheme also minimizes the computation burden. Moreover, with the aid of the quantization design, we propose a quantized penalty ADMM to obtain the suboptimal solution. Furthermore, the proposed algorithm converges to the suboptimal solution with an O(1k) convergence rate for general convex objective functions, and with an R-linear rate for strongly convex objective functions. |
| نوع الوثيقة: |
other/unknown material |
| وصف الملف: |
média; svazek |
| اللغة: |
English |
| العلاقة: |
https://kramerius.lib.cas.cz/view/uuid:6d46563b-dec7-400e-803f-812548ad430fTest |
| DOI: |
10.14736/kyb-2023-3-0392 |
| الإتاحة: |
https://doi.org/10.14736/kyb-2023-3-0392Test
https://kramerius.lib.cas.cz/view/uuid:6d46563b-dec7-400e-803f-812548ad430fTest |
| حقوق: |
policy:public |
| رقم الانضمام: |
edsbas.F84E8B19 |
| قاعدة البيانات: |
BASE |
