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researcher

Caomingzhe Si

2 papers hereh-index 8254 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedA Federated Learning Framework for Non-Intrusive Load Monitoring

14 citations · 14 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021

Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection

Haijin Wang, Caomingzhe Si, Junhua Zhao +2

Non-intrusive load monitoring (NILM) is essential for understanding customer's power consumption patterns and may find wide applications like carbon emission reduction and energy c…

eess.SP2021★ 14 cited

A Federated Learning Framework for Non-Intrusive Load Monitoring

Haijin Wang, Caomingzhe Si, Junhua Zhao

Non-intrusive load monitoring (NILM) aims at decomposing the total reading of the household power consumption into appliance-wise ones, which is beneficial for consumer behavior an…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.