Cryptocurrency exchange platforms such as Coinbase, Binance, enable user...
Representing source code in a generic input format is crucial to automat...
Despite recent progresses of practical asynchronous Byzantine fault tole...
Recent learning-based inpainting algorithms have achieved compelling res...
With the emergence of large-scale decentralized applications, a scalable...
For asynchronous binary agreement (ABA) with optimal resilience, prior
p...
Optimistic asynchronous atomic broadcast was proposed to improve the
per...
Peer-to-peer (p2p) content delivery is promising to reduce the cost of
t...
In the current COVID-19 pandemic, manual contact tracing has been proven...
Advances in deep neural networks have considerably improved the art of
a...
Recently data-driven image inpainting methods have made inspiring progre...
The Industrial Internet of Things (IIoT) is an emerging paradigm to make...
The COVID-19 pandemic has posed a unique challenge for the world to find...
With the rapid popularity of blockchain, decentralized human intelligenc...
We conduct a systematic study on the light client of permissionless
bloc...
Collaborative filtering recommenders provide effective personalization
s...
Distributed Leger Technologies (DLTs), most notably Blockchain technolog...
We design and implement the first private and anonymous decentralized
cr...
Recommender systems rely on large datasets of historical data and entail...
Machine Learning is a widely-used method for prediction generation. Thes...
Machine Learning is a widely-used method for prediction generation. Thes...