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Blockchain Multiparty Computation Markets at Scale
We explore ways of allowing for the offloading of computationally rigorous tasks from devices with slow logical processors onto a network of anonymous peer-processors. Recent advances in secret sharing schemes, decentralized consensus mechanisms, and multiparty computation (MPC) protocols are combined to create a P2P MPC market. Unlike other computational "clouds", ours is able to generically compute any arithmetic circuit, providing a viable platform for processing on the semantic web. Finally, we show that such a system works in a hostile environment, that it scales well, and that it adapts very easily to any future advances in the complexity theoretic cryptography used. Specifically, we show that the feasibility of our system can only improve, and is historically guaranteed to do so.
Charles Noyes

University of Melbourne Thesis Template
Thesis template modified to satisfy the rules established by the Research Higher Degree Committee at the University of Melbourne. Based on the template created by Steve R. Gunn, and modified by Sunil Pate.
Ricardo Garcia-Rosas

Mendeley Acadêmico
Este minicurso foi (e ainda está sendo) concebido para iniciantes em Mendeley + LaTeX com Overleaf. Os conteúdos deste minicurso estão em uma contante evolutiva.
Francisco Reinaldo

FMT 2016 Template
Template for the 9th Forum Media Technology at St. Poelten University of Applied Sciences.
Adapted from "The Two Column Style for CEUR-WS".
Mary Y. Writter, John X. Ceur, Yvonne Onderzoeker

Modelo TCC Unoesc
abnTeX2: Modelo de Trabalho Academico em conformidade com
ABNT NBR 14724:2011: Informacao e documentacao - Trabalhos academicos
Customização Unoesc
\Autor: Jonas Alessi(alessi.jonas@gmail.com
Versão: 10 de Julho 2013.
Jonas Alessi

Predictive Posterior Power for Sample Size Re-estimation
Information before unblinding regarding the success of confirmatory clinical trials is highly uncertain. Estimates of expected future power which purport to use this information for purposes of sample size adjustment after given interim points need to reflect this uncertainty. Estimates of future power at later interim points need to track the evolution of the clinical trial. We employ sequential models to describe this evolution. We show that current techniques using point estimates of auxiliary parameters for estimating expected power: (i) fail to describe the range of likely power obtained after the anticipated data are observed, (ii) fail to adjust to different kinds of thresholds, and (iii) fail to adjust to the changing patient population. Our algorithms address each of these shortcomings. We show that the uncertainty arising from clinical trials is characterized by filtering later auxiliary parameters through their earlier counterparts and employing the resulting posterior distribution to estimate power. We devise MCMC-based algorithms to implement sample size adjustments after the first interim point. Bayesian models are designed to implement these adjustments in settings where both hard and soft thresholds for distinguishing the presence of treatment effects are present. Sequential MCMC-based algorithms are devised to implement accurate sample size adjustments for multiple interim points. We apply these suggested algorithms to a depression trial for purposes of illustration.
marc sobel

Review of Fault Tolerance Techniques in Distributed System
Distributed system is a collection of independent systems which can communicate with each other by transferring massages. There are some major issues in distributed systems but we focus in this paper on fault tolerance. It is the system’s ability to work in the condition when there occur any type of some fault in the system, like failure in communication, hardware or resources. It is a very important issue in distributed system, in this paper we present a survey of different types of fault tolerance techniques and their comparison.
Ayyaz

Creating Partial Table of Contents using titletoc
This example shows how to create partial tables of contents using the titletoc package.
LianTze Lim

CCI2020
Paper Template for Joint Congress on Computational Intelligence 2020.
Mahmood Amintoosi