Zobrazeno 1 - 10
of 18 164
pro vyhledávání: '"Multi-server"'
Federated learning (FL) systems enable multiple clients to train a machine learning model iteratively through synchronously exchanging the intermediate model weights with a single server. The scalability of such FL systems can be limited by two facto
Externí odkaz:
http://arxiv.org/abs/2406.01439
The work here studies the communication cost for a multi-server multi-task distributed computation framework, and does so for a broad class of functions and data statistics. Considering the framework where a user seeks the computation of multiple com
Externí odkaz:
http://arxiv.org/abs/2405.08732
Autor:
Chen, Shuangyi, Khisti, Ashish
In the context of prediction-as-a-service, concerns about the privacy of the data and the model have been brought up and tackled via secure inference protocols. These protocols are built up by using single or multiple cryptographic tools designed und
Externí odkaz:
http://arxiv.org/abs/2404.16232
Autor:
Vaze, Rahul
The problem of online scheduling of multi-server jobs is considered, where there are a total of $K$ servers, and each job requires concurrent service from multiple servers for it to be processed. Each job on its arrival reveals its processing time, t
Externí odkaz:
http://arxiv.org/abs/2404.05271
Autor:
Sun, Wei1 (AUTHOR), Xie, Xumeng1 (AUTHOR), Zhang, Zhiyuan (AUTHOR), Li, Shiyong (AUTHOR) shiyongli@ysu.edu.cn
Publikováno v:
Quality Technology & Quantitative Management. May2024, p1-27. 27p. 23 Illustrations.
In the rapidly advancing field of federated learning (FL), ensuring efficient FL task delegation while incentivising FL client participation poses significant challenges, especially in wireless networks where FL participants' coverage is limited. Exi
Externí odkaz:
http://arxiv.org/abs/2403.09153
This paper presents new solutions for Private Information Retrieval (PIR) with side information. This problem is motivated by PIR settings in which a client has side information about the data held by the servers and would like to leverage this infor
Externí odkaz:
http://arxiv.org/abs/2401.16628
In this paper, we investigate a multi-user offloading problem in the overlapping domain of a multi-server mobile edge computing system. We divide the original problem into two stages: the offloading decision making stage and the request scheduling st
Externí odkaz:
http://arxiv.org/abs/2404.07215
Autor:
Sun, Shuwan1,2 (AUTHOR), Bian, Weixin1,2 (AUTHOR) bwx2353@ahnu.edu.cn, Xie, Dong1,2 (AUTHOR), Xu, Deqin1,2 (AUTHOR), Huang, Yi1,2 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 1, p911-928. 18p.
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