research
∙
08/16/2022
Knowledge-Injected Federated Learning
Federated learning is an emerging technique for training models from dec...
share
research
∙
01/26/2022
A dual approach for federated learning
We study the federated optimization problem from a dual perspective and ...
research
∙
01/07/2022
Fair and efficient contribution valuation for vertical federated learning
Federated learning is a popular technology for training machine learning...
research
∙
09/19/2021
Improving Fairness for Data Valuation in Federated Learning
Federated learning is an emerging decentralized machine learning scheme ...
research
∙
10/14/2020
Polar Deconvolution of Mixed Signals
The signal demixing problem seeks to separate the superposition of multi...
research
∙
12/11/2019
