Publications associées à Server push

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

Who Started This Rumor? Quantifying the Natural Differential Privacy of Gossip Protocols

Rachid Guerraoui, Hadrien Hendrikx

Gossip protocols (also called rumor spreading or epidemic protocols) are widely used to disseminate information in massive peer-to-peer networks. These protocols are often claimed to guarantee privacy because of the uncertainty they introduce on the node t ...

Schloss Dagstuhl, Leibniz-Zentrum2020

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

Systems and method for anonymous, low-latencey, tracking-resistant communications in a networked environment

Jean-Pierre Hubaux, Bryan Alexander Ford, Italo Ivan Dacosta Petrocelli, Ludovic Barman

Exemplary embodiments of the present disclosure provide cryptographically-strong tracking protection with unnoticeable "single-hop" network latencies by leveraging a client-relay- server architecture, in which the clients, relays (trusted or untrusted), an ...

2018

PriFi: A Low-Latency and Tracking-Resistant Protocol for Local-Area Anonymous Communication

Jean-Pierre Hubaux, Ludovic Barman, Bryan Alexander Ford, Mahdi Zamani, Italo Ivan Dacosta Petrocelli

Popular anonymity mechanisms such as Tor provide low communication latency but are vulnerable to traffic analysis attacks that can de-anonymize users. Moreover, known traffic-analysis-resistant techniques such as Dissent are impractical for use in latency- ...

ACM2016

Correlation-Aware Virtual Machine Allocation for Energy-Efficient Datacenters

David Atienza Alonso, Martino Ruggiero, Jungsoo Kim, Marcel Ledergerber

Server consolidation plays a key role to mitigate the continuous power increase of datacenters. The recent advent of scale-out applications (e.g., web search, MapReduce, etc.) necessitate the revisit of existing server consolidation solutions due to distin ...

ACM and IEEE Press2013

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

Automated Qoe Evaluation Of Dynamic Adaptive Streaming Over Http

Marco Mattavelli, Claudio Paolo Alberti, Daniele Renzi

Dynamic Adaptive Streaming over HTTP (DASH) is referred to as a multimedia streaming standard to deliver high quality multimedia content over the Internet using conventional HTTP Web servers. As a fundamental feature, it enables automatic switching of qual ...

Ieee2013

Automated QoE Evaluation of Dynamic Adaptive Streaming over HTTP

Marco Mattavelli, Claudio Paolo Alberti, Daniele Renzi

Dynamic Adaptive Streaming over HTTP (DASH) is referred to as a multimedia streaming standard to deliver high quality multimedia content over the Internet using conventional HTTP Web servers. As a fundamental feature, it enables automatic switching of qual ...

Curran Associates2013

Enabling Query Technologies for the Semantic Sensor Web

Karl Aberer, Jean Paul Calbimonte Perez, Ho Young Jeung

Sensor networks are increasingly being deployed in the environment for many different purposes. The observations that they produce are made available with heterogeneous schemas, vocabularies and data formats, making it difficult to share and reuse this dat ...

Igi Publ2012