Advances in Semi-Supervised Learning (SSL) have almost entirely closed t...
One of the goals in Federated Learning (FL) is to create personalized mo...
Recent work on the Lottery Ticket Hypothesis (LTH) shows that there exis...
Asynchronous learning protocols have regained attention lately, especial...
Federated learning enables many local devices to train a deep learning m...
We propose , a novel distributed training protocol for
Residual Networks...
The graph convolutional network (GCN) is a go-to solution for machine
le...
Learning to cooperate is crucially important in multi-agent reinforcemen...