Search · four archives
Search · four archives
10 papers · ranked by Valyu relevance
Yongcheng Yang, Yifei Huang, Xiaohuan Qin, Shenglian Lu + 3 more
'Yanlin Geng' 'Youlong Wu' 'Ling Liu'] Coded distributed computing (CDC) is a powerful approach to reduce the communication overhead in distributed computing frameworks by utilizing coding techniques. In this paper, we focus on the CDC problem in $(H,L)$-combination networks, where H APs act as intermediate pivots and…
Qicheng Zeng, Zhaojun Nan, Sheng Zhou, T. Aaron Gulliver
Coded computing is recognized as a promising solution to address the privacy leakage problem and the straggling effect in distributed computing. This technique leverages coding theory to recover computation tasks using results from a subset of workers. In this paper, we propose the adaptive privacy-preserving coded…
Haobo Jia, Zhuqing Jia, Shenghui Song
We study the problem of locally encoded secure distributed batch matrix multiplication (LESDBMM), where M pairs of sources each encode their respective batches of massive matrices and distribute the generated shares to a subset of N worker nodes. Each worker node computes a response from the received shares and sends…
Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye + 1 more
In wireless distributed computing systems, worker nodes connect to a master node wirelessly and perform large-scale computational tasks that are parallelized across them. However, the common phenomenon of straggling (i.e., worker nodes often experience unpredictable slowdown during computation and communication) and…
Ming Xiao, Mikael Skoglund, H. Vincent Poor, Onur Günlü + 2 more
'Rafael F. Schaefer' 'Holger Boche'] This article aims to give a comprehensive and rigorous review of the principles and recent development of coding for large-scale distributed machine learning (DML). With increasing data volumes and the pervasive deployment of sensors and computing machines, machine learning has…
Derya Malak, Mohammad Reza Deylam Salehi, Berksan Serbetci, Petros Elia + 2 more
'Petros Elia' 'Chintha Tellambura' 'Jun Chen'] The work here studies the communication cost for a multi-server multi-task distributed computation framework, as well as for a broad class of functions and data statistics. Considering the framework where a user seeks the computation of multiple complex (conceivably…
Zhenhao Huang, Jiahui Chen, Xiaowen You, Shuai Ma + 5 more
'H. Vincent Poor' 'Holger Boche' 'Rafael F. Schaefer' 'Onur Günlü'] Caching technique is a promising approach to reduce the heavy traffic load and improve user latency experience for the Internet of Things (IoT). In this paper, by exploiting edge cache resources and communication opportunities in device-to-device (D2D)…
Yueyang Liu, Haobo Jia, Zhuqing Jia, Mohamed Seif
The problem of graph-based X-secure T-private linear computation (GXSTPLC) is to allow a user to retrieve a linear combination of K messages from a set of N distributed servers that store the messages in a graph-based fashion, i.e., each message is restricted to be distributed among a subset of servers. T-privacy…
Chunli Zhao, Fengfan Yang, Daniel Kariuki Waweru, Chen Chen + 2 more
'Hongjun Xu' 'Floriano De Rango'] We present a well-known generalized Reed-Solomon (GRS) code incorporated with space-time block coded spatial modulation (STBC-SM) for wireless networks, which is capable of enjoying coded cooperation between the source and the relay. In the proposed distributed GRS-coded STBC-SM…
Ahmed Hadi Ali AL-Jumaili, Ravie Chandren Muniyandi, Mohammad Kamrul Hasan, Johnny Koh Siaw Paw + 2 more
Traditional parallel computing for power management systems has prime challenges such as execution time, computational complexity, and efficiency like process time and delays in power system condition monitoring, particularly consumer power consumption, weather data, and power generation for detecting and predicting…