research
∙
09/07/2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
Advances in Semi-Supervised Learning (SSL) have almost entirely closed t...
share
research
∙
06/14/2023
Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts
One of the goals in Federated Learning (FL) is to create personalized mo...
research
∙
10/28/2022
LOFT: Finding Lottery Tickets through Filter-wise Training
Recent work on the Lottery Ticket Hypothesis (LTH) shows that there exis...
research
∙
10/28/2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Asynchronous learning protocols have regained attention lately, especial...
research
∙
10/23/2021
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks
Federated learning enables many local devices to train a deep learning m...
research
∙
07/02/2021
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
We propose , a novel distributed training protocol for Residual Networks...
research
∙
02/20/2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
The graph convolutional network (GCN) is a go-to solution for machine le...
research
∙
10/22/2018
