Publications related to 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, Manuel José Ribeiro Vidigueira, Martina Camaioni, Matteo Monti

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

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

Rachid Guerraoui, El Mahdi El Mhamdi, Sébastien Louis Alexandre Rouault, Georgios Damaskinos, Arsany Hany Abdelmessih Guirguis

We present AGGREGATHOR, a framework that implements state-of-the-art robust (Byzantine-resilient) distributed stochastic gradient descent. Following the standard parameter server model, we assume that a minority of worker machines can be controlled by an a ...

2019

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

Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing

Boi Faltings, Sujit Prakash Gujar

Crowdsourcing marketplaces link large populations of workers to an even larger number of tasks. Thus, it is necessary to have mechanisms for matching workers with interesting and suitable tasks. Earlier work has addressed the problem of finding optimal wor ...

Springer International Publishing Ag2017

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

Scale-Out NUMA

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

Emerging datacenter applications operate on vast datasets that are kept in DRAM to minimize latency. The large number of servers needed to accommodate this massive memory footprint requires frequent server-to-server communication in applications such as ke ...

2014

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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

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

How to Measure the Killer Microsecond

Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing

Dynamic NoC buffer allocation for MPSoC timing side channel attack protection

Scale-out non-uniform memory access

Scale-Out NUMA

Graph Chatbot

Chat with Graph Search

Scale-Out NUMA

Scale-out non-uniform memory access

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

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing

Dynamic NoC buffer allocation for MPSoC timing side channel attack protection