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Michael Christoph Gastpar

Publications associées (232)

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A New Converse Bound for Coded Caching

Michael Christoph Gastpar, Sung Hoon Lim, Chien-Yi Wang

An information-theoretic lower bound is developed for the caching system studied by Maddah-Ali and Niesen. By comparing the proposed lower bound with the decentralized coded caching scheme of Maddah-Ali and Niesen, the optimal memory--rate tradeoff is char ...

2016

K Users Caching Two Files: An Improved Achievable Rate

Michael Christoph Gastpar, Saeid Sahraei

Caching is an approach to smoothen the variability of traffic over time. Recently it has been proved that the local memories at the users can be exploited for reducing the peak traffic in a much more efficient way than previously believed. In this work we ...

Ieee2016

Computation in Multicast Networks: Function Alignment and Converse Theorems

Michael Christoph Gastpar, Naveen Goela

The classical problem in a network coding theory considers communication over multicast networks. Multiple transmitters send independent messages to multiple receivers that decode the same set of messages. In this paper, computation over multicast networks ...

Institute of Electrical and Electronics Engineers2016

On the energy benefit of compute-and-forward for multiple unicasts

Michael Christoph Gastpar, Jasper Goseling

Compute-and-forward (CF) is a technique which exploits broadcast and superposition in wireless networks. In this paper, the CF energy benefit is studied for networks with unicast sessions and modeled by connected graphs. This benefit is defined as the rati ...

Ieee2016

Multi-Library Coded Caching

Michael Christoph Gastpar, Saeid Sahraei

We study the problem of coded caching when the server has access to several libraries and each user makes independent requests from every library. The single-library scenario has been well studied and it has been proved that coded caching can significantly ...

2016

Locally differentially-private distribution estimation

Michael Christoph Gastpar, Adriano Pastore

We consider a setup in which confidential i.i.d. samples X1, ..., Xn from an unknown discrete distribution PX are passed through a discrete memoryless privatization channel (a.k.a. mechanism) which guarantees an epsilon-level of local differential privacy. ...

Ieee2016

A joint typicality approach to compute-forward

Michael Christoph Gastpar, Sung Hoon Lim, Chen Feng

A general framework for analyzing linear codes with joint typicality encoders and decoders is presented. Using this approach, we provide a new perspective on the compute-forward framework. In particular, an achievable rate region for computing the weighted ...

2015

Information-Theoretic Caching

Michael Christoph Gastpar, Sung Hoon Lim, Chien-Yi Wang

Motivated by the caching problem introduced by Maddah-Ali and Niesen, a problem of distributed source coding with side information is formulated, which captures a distinct interesting aspect of caching. For the single-user case, a single-letter characteriz ...

2015

Random Access With Physical-Layer Network Coding

Michael Christoph Gastpar, Jasper Goseling

We consider a physical-layer network coding strategy for the random-access channel, based on compute-and-forward. When packets collide, it is possible to reliably recover a linear combination of the packets at the receiver. Over many rounds of transmission ...

Institute of Electrical and Electronics Engineers2015

Interactive Computation of Type-Threshold Functions in Collocated Gaussian Networks

Michael Christoph Gastpar, Chien-Yi Wang

In wireless sensor networks, various applications involve learning one or multiple functions of the measurements observed by sensors, rather than the measurements themselves. This paper focuses on the class of type-threshold functions, e.g., the maximum an ...

Institute of Electrical and Electronics Engineers2015