research
∙
09/01/2022
Online Data Selection for Federated Learning with Limited Storage
Machine learning models have been deployed in mobile networks to deal wi...
share
research
∙
06/17/2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting
Keyword spotting (KWS) aims to discriminate a specific wake-up word from...
research
∙
03/28/2022
Federated Learning with Position-Aware Neurons
Federated Learning (FL) fuses collaborative models from local nodes with...
research
∙
11/21/2021
Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning
Secure linear aggregation is to linearly aggregate private inputs of dif...
research
∙
07/26/2021
Preliminary Steps Towards Federated Sentiment Classification
Automatically mining sentiment tendency contained in natural language is...
research
∙
07/26/2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
Although federated learning (FL) has recently been proposed for efficien...
research
∙
07/21/2021
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring
In recent years, researchers have been paying increasing attention to th...
research
∙
04/27/2021