8 citations · 26 across the 5 of their papers we have counts for
5 papers
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Shuang Dai, Fanlin Meng
Online federated learning (OFL) and online transfer learning (OTL) are two collaborative paradigms for overcoming modern machine learning challenges such as data silos, streaming d…
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
Qian Wang, Fanlin Meng, Toby P. Breckon
Domain adaptation solves image classification problems in the target domain by taking advantage of the labelled source data and unlabelled target data. Usually, the source and targ…
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
Shuang Dai, Fanlin Meng, Qian Wang +1
Non-intrusive load monitoring (NILM), which usually utilizes machine learning methods and is effective in disaggregating smart meter readings from the household-level into applianc…
Electrical peak demand forecasting- A review
Shuang Dai, Fanlin Meng, Hongsheng Dai +2
The power system is undergoing rapid evolution with the roll-out of advanced metering infrastructure and local energy applications (e.g. electric vehicles) as well as the increasin…
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation
Qian Wang, Fanlin Meng, Toby P. Breckon
We address the Unsupervised Domain Adaptation (UDA) problem in image classification from a new perspective. In contrast to most existing works which either align the data distribut…