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Related publications (526)

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Function computation via subspace coding

Christina Fragouli, Lorenzo Keller, Nikhil Karamchandani

This paper considers function computation in a network where intermediate nodes perform randomized network coding, through appropriate choice of the subspace codebooks at the source nodes. Unlike traditional network coding for comput- ing functions, that r ...

2013

Biomechanics of DNA structures visualized by 4D electron microscopy

Ulrich Lorenz

We present a technique for in situ visualization of the biomechanics of DNA structural networks using 4D electron microscopy. Vibrational oscillations of the DNA structure are excited mechanically through a short burst of substrate vibrations triggered by ...

2013

On the benefits of diffusion cooperation for distributed optimization and learning

Ali H. Sayed

This work characterizes the nature of the limit point of distributed strategies for adaptation and learning over networks in the general case when the combination policy is not necessarily doubly stochastic and when the individual risks do not necessarily ...

2013

Selfish Response to Epidemic Propagation

Jean-Yves Le Boudec, Georgios Theodorakopoulos

An epidemic spreading in a network calls for a decision on the part of the network members: They should decide whether to protect themselves or not. Their decision depends on the trade-off between their perceived risk of being infected and the cost of bein ...

Institute of Electrical and Electronics Engineers2013

A Network Coding Approach to Loss Tomography

Christina Fragouli

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 and/or unicast end- ...

Institute of Electrical and Electronics Engineers2013

Is the Network Turing-Complete?

Dejan Kostic, Peter Peresini

Ensuring correct network behavior is hard. This is the case even for simple networks, and adding middleboxes only complicates this task. In this paper, we demonstrate a fundamental property of networks. Namely, we show a way of using a network to emulate t ...

2013

A Distributed Polling with Probabilistic Privacy

Rachid Guerraoui, Florian Huc, Yahya Benkaouz

In this paper, we present PDP, a distributed polling protocol that enables a set of participants to gather their opinion on a common interest without revealing their point of view. PDP does not rely on any centralized authority or on heavyweight cryptograp ...

2013

Exchanging Pairwise Secrets Efficiently

Christina Fragouli, Suhas Diggavi, Iris Safaka

We consider the problem where a group of wireless nodes, connected to the same broadcast domain, want to create pairwise secrets, in the presence of an adversary Eve, who tries to listen in and steal these secrets. Existing solutions assume that Eve cannot ...

Institute of Electrical and Electronics Engineers Inc.2013

Active topology inference using network coding

Christina Fragouli

Our goal, in this paper, is to infer the topology of a network when (i) we can send probes between sources and receivers at the edge of the network and (ii) intermediate nodes can perform simple network coding operations, i.e., additions. Our key intuition ...

2013

Inference of neuronal network spike dynamics and topology from calcium imaging data

Wulfram Gerstner, Joao Emanuel Felipe Gerhard, Friedemann Zenke

Two-photon calcium imaging enables functional analysis of neuronal circuits by inferring action potential (AP) occurrence ("spike trains") from cellular fluorescence signals. It remains unclear how experimental parameters such as signal-to-noise ratio (SNR ...

Frontiers Research Foundation2013