FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning.
Shuang DaiFanlin MengQian WangXizhong ChenPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- deep learning
- multi party
- privacy preservation
- distributed systems
- horizontally partitioned data
- privacy preserving data mining algorithms
- horizontally partitioned
- vertically partitioned data
- partitioned data
- privacy preserving data mining
- privacy guarantees
- secure multiparty computation
- private information
- probabilistic model
- data analysis
- privacy sensitive
- training data
- data privacy
- preserving privacy
- data sets