research
∙
04/28/2023
Hyperparameter Optimization through Neural Network Partitioning
Well-tuned hyperparameters are crucial for obtaining good generalization...
share
research
∙
06/22/2022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
Federated Learning (FL) is a machine learning paradigm to distributively...
research
∙
11/19/2021
An Expectation-Maximization Perspective on Federated Learning
Federated learning describes the distributed training of models across m...
research
∙
11/09/2021
DP-REC: Private Communication-Efficient Federated Learning
Privacy and communication efficiency are important challenges in federat...
research
∙
07/14/2021
Federated Mixture of Experts
Federated learning (FL) has emerged as the predominant approach for coll...
research
∙
10/03/2018
