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Network tomography aims at inferring internal network characteristics based on measurements at the edge of the network. In loss tomography, in particular, the characteristic of interest is the loss rate of individual links and multicast…

Information Theory · Computer Science 2015-03-17 Pegah Sattari , Athina Markopoulou , Christina Fragouli , Minas Gjoka

Erasure coding is a storage-efficient alternative to replication for achieving reliable data backup in distributed storage systems. During the storage process, traditional erasure codes require a unique source node to create and upload all…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-19 Lluis Pamies-Juarez , Anwitaman Datta , Frédérique Oggier

Recently, physical layer security in the optical layer has gained significant traction. Security treats in optical networks generally impact the reliability of optical transmission. Linear Network Coding (LNC) can protect from both the…

Cryptography and Security · Computer Science 2015-10-26 Anna Engelmann , Admela Jukan

Coded caching is used to reduce network congestion during peak hours. A single server is connected to a set of users through a bottleneck link, which generally is assumed to be error-free. During non-peak hours, all the users have full…

Information Theory · Computer Science 2017-12-22 Nujoom Sageer Karat , Anoop Thomas , B. Sundar Rajan

The goal of network embedding is to transform nodes in a network to a low-dimensional embedding vectors. Recently, heterogeneous network has shown to be effective in representing diverse information in data. However, heterogeneous network…

Social and Information Networks · Computer Science 2019-12-21 Seonghyeon Lee , Chanyoung Park , Hwanjo Yu

We design and implement a network-coding-enabled reliability architecture for next generation wireless networks. Our network coding (NC) architecture uses a flexible thread-based design, with each encoder-decoder instance applying…

Networking and Internet Architecture · Computer Science 2013-08-05 S. Teerapittayanon , K. Fouli , M. Medard , M. -J. Montpetit , X. Shi , I. Seskar , A. Gosain

Caching is an efficient way to reduce network traffic congestion during peak hours, by storing some content at the user's local cache memory, even without knowledge of user's later demands. Maddah-Ali and Niesen proposed a two-phase…

Information Theory · Computer Science 2020-01-15 Kai Wan , Daniela Tuninetti , Pablo Piantanida

The following \textit{network computing} problem is considered. Source nodes in a directed acyclic network generate independent messages and a single receiver node computes a target function $f$ of the messages. The objective is to maximize…

Information Theory · Computer Science 2016-11-18 Rathinakumar Appuswamy , Massimo Franceschetti , Nikhil Karamchandani , Ken Zeger

Network switches and routers need to serve packet writes and reads at rates that challenge the most advanced memory technologies. As a result, scaling the switching rates is commonly done by parallelizing the packet I/Os using multiple…

Networking and Internet Architecture · Computer Science 2016-05-17 Rami Cohen , Yuval Cassuto

A cache-aided broadcast network is studied, in which a server delivers contents to a group of receivers over a packet erasure broadcast channel (BC). The receivers are divided into two sets with regards to their channel qualities: the weak…

Information Theory · Computer Science 2017-06-02 Mohammad Mohammadi Amiri , Deniz Gunduz

A cross-layer design along with an optimal resource allocation framework is formulated for wireless fading networks, where the nodes are allowed to perform network coding. The aim is to jointly optimize end-to-end transport layer rates,…

Networking and Internet Architecture · Computer Science 2011-05-06 Ketan Rajawat , Nikolaos Gatsis , Georgios B. Giannakis

Incorporating deep neural networks in image compressive sensing (CS) receives intensive attentions in multimedia technology and applications recently. As deep network approaches learn the inverse mapping directly from the CS measurements,…

Image and Video Processing · Electrical Eng. & Systems 2022-07-12 Siwang Zhou , Yan He , Yonghe Liu , Chengqing Li , Jianming Zhang

Modern learning algorithms use gradient descent updates to train inferential models that best explain data. Scaling these approaches to massive data sizes requires proper distributed gradient descent schemes where distributed worker nodes…

Information Theory · Computer Science 2017-10-30 Songze Li , Seyed Mohammadreza Mousavi Kalan , A. Salman Avestimehr , Mahdi Soltanolkotabi

This paper addresses the problem of exponentially increasing sub-packetization with the number of users in a centralized coded caching system by introducing a new coded caching scheme inspired by the symmetric neighboring consecutive side…

Information Theory · Computer Science 2020-09-24 Anjana A. Mahesh , B. Sundar Rajan

Combining the message-passing paradigm with the global attention mechanism has emerged as an effective framework for learning over graphs. The message-passing paradigm and the global attention mechanism fundamentally generate node…

Machine Learning · Computer Science 2025-09-30 Haimin Zhang , Jiahao Xia , Min Xu

Chunked codes are efficient random linear network coding (RLNC) schemes with low computational cost, where the input packets are encoded into small chunks (i.e., subsets of the coded packets). During the network transmission, RLNC is…

Information Theory · Computer Science 2015-03-27 Bin Tang , Shenghao Yang , Baoliu Ye , Yitong Yin , Sanglu Lu

We treat shape co-segmentation as a representation learning problem and introduce BAE-NET, a branched autoencoder network, for the task. The unsupervised BAE-NET is trained with a collection of un-segmented shapes, using a shape…

Computer Vision and Pattern Recognition · Computer Science 2019-08-15 Zhiqin Chen , Kangxue Yin , Matthew Fisher , Siddhartha Chaudhuri , Hao Zhang

Among the new techniques of Versatile Video Coding (VVC), the quadtree with nested multi-type tree (QT+MTT) block structure yields significant coding gains by providing more flexible block partitioning patterns. However, the recursive…

Image and Video Processing · Electrical Eng. & Systems 2025-07-16 Xinmin Feng , Zhuoyuan Li , Li Li , Dong Liu , Feng Wu

This paper considers the downlink traffic from a base station to two different clients. When assuming infinite backlog, it is known that inter-session network coding (INC) can significantly increase the throughput of each flow. However, the…

Networking and Internet Architecture · Computer Science 2014-10-08 Wei-Cheng Kuo , Chih-Chun Wang

In future content-centric networks, content is identified independently of its location. From an end-user's perspective, individual storage systems dissolve into a seemingly omnipresent structureless `storage fog'. Content should be…

Information Theory · Computer Science 2020-09-14 Joachim Neu , Muriel Médard