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20062025
most citedSpeeding Up Distributed Machine Learning Using Codes

885 citations · 3.8k across the 104 of their papers we have counts for

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Showing 2012 · cs.ITShow all

6 papers · 2 filters

cs.IT2012

The MDS Queue: Analysing the Latency Performance of Erasure Codes

Nihar B. Shah, Kangwook Lee, Kannan Ramchandran

In order to scale economically, data centers are increasingly evolving their data storage methods from the use of simple data replication to the use of more powerful erasure codes,…

cs.IT2012

Semi-Definite Programming Relaxation for Non-Line-of-Sight Localization

Venkatesan Ekambaram, Giulia Fanti, Kannan Ramchandran

We consider the problem of estimating the locations of a set of points in a k-dimensional euclidean space given a subset of the pairwise distance measurements between the points. W…

cs.IT2012★ 4 cited

Minimum Cost Multicast with Decentralized Sources

Nebojsa Milosavljevic, Sameer Pawar, Salim El Rouayheb +2

In this paper we study the multisource multicast problem where every sink in a given directed acyclic graph is a client and is interested in a common file. We consider the case whe…

cs.IT2012★ 1 cited

Data Exchange Problem with Helpers

Nebojsa Milosavljevic, Sameer Pawar, Salim El Rouayheb +2

In this paper we construct a deterministic polynomial time algorithm for the problem where a set of users is interested in gaining access to a common file, but where each has only…

cs.IT2012★ 18 cited

A Compression Algorithm Using Mis-aligned Side-information

Nan Ma, Kannan Ramchandran, David Tse

We study the problem of compressing a source sequence in the presence of side-information that is related to the source via insertions, deletions and substitutions. We propose a si…

cs.IT2012★ 20 cited

Regenerating Codes for Errors and Erasures in Distributed Storage

K. V. Rashmi, Nihar B. Shah, Kannan Ramchandran +1

Regenerating codes are a class of codes proposed for providing reliability of data and efficient repair of failed nodes in distributed storage systems. In this paper, we address th…