Weight-sharing neural architecture search aims to optimize a configurabl...
We propose a framework, called neural-progressive hedging (NP), that
lev...
Optimal transport is a framework for comparing measures whereby a cost i...
[Zhang, ICML 2018] provided the first decentralized actor-critic algorit...
One of the main challenges in real-world reinforcement learning is to le...
Federated learning brings potential benefits of faster learning, better
...
We present a class of methods for federated learning, which we call Fed+...
Federated Learning (FL) is an approach to conduct machine learning witho...
Crowdsourcing has emerged as an effective means for performing a number ...
Air traffic control is an example of a highly challenging operational pr...
Increasing urban concentration raises operational challenges that can be...
We present results from several projects aimed at enabling the real-time...
The preponderance of connected devices provides unprecedented opportunit...
This paper presents a simple yet principled approach to boosting the
rob...
The Bitcoin transaction graph is a public data structure organized as
tr...
Bitcoin has created a new exchange paradigm within which financial
trans...