Publications associées à Dynamic Host Configuration Protocol

Genuinely distributed Byzantine machine learning

Rachid Guerraoui, El Mahdi El Mhamdi, Le Nguyen Hoang, Sébastien Louis Alexandre Rouault, Arsany Hany Abdelmessih Guirguis

Machine learning (ML) solutions are nowadays distributed, according to the so-called server/worker architecture. One server holds the model parameters while several workers train the model. Clearly, such architecture is prone to various types of component ...

2022

Oracular Byzantine Reliable Broadcast

Rachid Guerraoui, Martina Camaioni, Matteo Monti, Manuel José Ribeiro Vidigueira

Byzantine Reliable Broadcast (BRB) is a fundamental distributed computing primitive, with applications ranging from notifications to asynchronous payment systems. Motivated by practical consideration, we study Client-Server Byzantine Reliable Broadcast (CS ...

Schloss Dagstuhl - Leibniz-Zentrum für Informatik2022

Genuinely Distributed Byzantine Machine Learning

Rachid Guerraoui, El Mahdi El Mhamdi, Le Nguyen Hoang, Sébastien Louis Alexandre Rouault, Arsany Hany Abdelmessih Guirguis

Machine Learning (ML) solutions are nowadays distributed, according to the so-called server/worker architecture. One server holds the model parameters while several workers train the model. Clearly, such architecture is prone to various types of component ...

Association for Computing Machinery2020

The Polyglutamine Expansion at the N-Terminal of Huntingtin Protein Modulates the Dynamic Configuration and Phosphorylation of the C-Terminal HEAT Domain

Matteo Dal Peraro, Maria Josefina Marcaida Lopez, Giorgio Elikem Tamo, Ruedi Aebersold

The polyQ expansion in huntingtin protein (HTT) is the prime cause of Huntington's disease (HD). The recent cryoelectron microscopy (cryo-EM) structure of HTT-HAP40 complex provided the structural information on its HEAT-repeat domains. Here, we present an ...

CELL PRESS2020

How to Measure the Killer Microsecond

Edouard Bugnion, Mia Primorac

Datacenter-networking research requires tools to both generate traffic and accurately measure latency and throughput. While hardware-based tools have long existed commercially, they are primarily used to validate ASICs and lack flexibility, e.g. to study n ...

Assoc Computing Machinery2017

Scale-out non-uniform memory access

Babak Falsafi, Edouard Bugnion, Boris Robert Grot, Alexandros Daglis, Stanko Novakovic

A computing system that uses a Scale-Out NUMA (“soNUMA”) architecture, programming model, and/or communication protocol provides for low-latency, distributed in-memory processing. Using soNUMA, a programming model is layered directly on top of a NUMA memor ...

2015

iPRP: Parallel Redundancy Protocol for IP Networks

Jean-Yves Le Boudec, Dan-Cristian Tomozei, Miroslav Popovic

Reliable packet delivery within stringent time limits is a key requirement of smart-grid and other industrial communication networks. The Parallel Redundancy Protocol (PRP), used in this context, duplicates packets at the MAC layer over parallel networks a ...

2014

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

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Dynamic Host Configuration Protocol

Genuinely distributed Byzantine machine learning

Oracular Byzantine Reliable Broadcast

Genuinely Distributed Byzantine Machine Learning

The Polyglutamine Expansion at the N-Terminal of Huntingtin Protein Modulates the Dynamic Configuration and Phosphorylation of the C-Terminal HEAT Domain

How to Measure the Killer Microsecond

Scale-out non-uniform memory access

iPRP: Parallel Redundancy Protocol for IP Networks

A Network Coding Approach to Loss Tomography

Optinal Source-Based Filtering of Malicious Traffic

Is Your OpenFlow Application Correct?

Graph Chatbot

Chattez avec Graph Search

Genuinely distributed Byzantine machine learning

Oracular Byzantine Reliable Broadcast

Optinal Source-Based Filtering of Malicious Traffic

Is Your OpenFlow Application Correct?

Genuinely Distributed Byzantine Machine Learning

The Polyglutamine Expansion at the N-Terminal of Huntingtin Protein Modulates the Dynamic Configuration and Phosphorylation of the C-Terminal HEAT Domain

Scale-out non-uniform memory access

iPRP: Parallel Redundancy Protocol for IP Networks

A Network Coding Approach to Loss Tomography

How to Measure the Killer Microsecond