8 citations · 29 across the 6 of their papers we have counts for
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cs.LG2022★ 3 cited
DP-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring
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…
cs.LG2022★ 2 cited
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…
cs.LG2021★ 5 cited
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…