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Decentralized optimization algorithms save remarkable communication overheads in distributed deep learning since each node averages locally with neighbors. The network topology connecting all nodes de...
The growing popularity of 3D printing for manufacturing all sorts of items, from customized medical devices to affordable homes, has created more demand for new 3D printing materials designed for very...
Researchers are running a global race to discover a vaccine, drug or combination of treatments that can disrupt the SARS-CoV-2 virus, which causes the COVID-19 disease, and prevent widespread deaths.M...
The National Science Foundation today announced the creation of a new program that will significantly advance research in AI and accelerate the development of transformational, AI-powered innovation b...
The increasing communication capabilities of vehicles are paving the way for promising road safety and traffic management applications. But the rise of connected vehicles also potentially introduces m...
Despite that most web traffic today comes from smartphones and tablets, the mobile web remains inconveniently slow. Even on fast 4G networks, a page takes 14 seconds to load on average–an eternity in ...
Fully Homomorphic Encryption is a powerful cryptographic tool that enables performing arbitrary meaningful computations over encrypted data. Despite its evolution over the past 7 years, FHE schemes ar...
Fully Homomorphic Encryption (FHE) schemes are conceptually very powerful tools for outsourcing computations on confidential data. However, experience shows that FHE-based solutions are not sufficient...
A new Materials Innovation Platforms (MIPs) program that aims to significantly accelerate materials research and development has made its first awards, to Penn State University and Cornell U...
The proportion of students taking a first algebra course in middle school has doubled over the past generation and there have been calls to make eighth grade algebra universal. We use significant poli...
Given a set P of n uncertain points on the real line, each rep-resented by its one-dimensional probability density function, we consider the problem of building data structures on P to answer range qu...
In this work we introduce a large polynomial arithmetic library optimized for Nvidia GPUs to support fully homomorphic encryption schemes. To realize the large polynomial arithmetic library we convert...
The signature scheme Bliss proposed by Ducas, Durmus, Lepoint and Lyubashevsky at Crypto’13, is currently the most compact and efficient lattice-based signature scheme that is provably secure under ...
After being introduced in 2009, the first fully homomorphic encryption (FHE) scheme has created significant excitement in academia and industry. Despite rapid advances in the last 6 years, FHE schem...
In this work we focus on tailoring and optimizing the computational Private Information Retrieval (cPIR) scheme proposed in WAHC 2014 for efficient execution on graphics processing units (GPUs). Ex...

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