The Natural Language for Optimization (NL4Opt) Competition was created t...
We describe an augmented intelligence system for simplifying and enhanci...
Federated learning is an emerging technique for training models from
dec...
The popularity of machine learning has increased the risk of unfair mode...
Federated learning is a popular technology for training machine learning...
Federated learning is an emerging decentralized machine learning scheme ...
Vertical federated learning (VFL), which enables multiple enterprises
po...
Building fair machine learning models becomes more and more important. A...
Cloud training platforms, such as Amazon Web Services and Huawei Cloud
p...
Decentralized optimization, particularly the class of decentralized comp...
For the challenging computational environment of IOT/edge computing,
per...
Learning community structures in graphs that are randomly generated by
s...
In this paper we consider a class of convex conic programming. In partic...
Error bounds, which refer to inequalities that bound the distance of vec...