most citedFederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning

5 citations · 10 across the 3 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…