We study the problem of multi-agent coordination in unpredictable and
pa...
Projection operations are a typical computation bottleneck in online
lea...
We enable efficient and effective coordination in unpredictable environm...
We introduce the first algorithm for distributed decision-making that
pr...
The significant success of Deep Neural Networks (DNNs) is highly promote...
Previous works proved that the combination of the linear neuron network ...
Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the
incr...
In this work, we propose ELFISH - a resource-aware federated learning
fr...
Recently, adversarial attacks can be applied to the physical world, caus...
Recently, Convolutional Neural Networks (CNNs) demonstrate a considerabl...
Nowadays, machine learning based Automatic Speech Recognition (ASR) tech...
In recent years, neural networks have demonstrated outstanding effective...