FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning.
Shuang DaiFanlin MengQian WangXizhong ChenPublished in: IJCNN (2023)
Keyphrases
- privacy preserving
- deep learning
- multi party
- privacy preserving data mining
- partitioned data
- privacy preserving data mining algorithms
- horizontally partitioned
- vertically partitioned data
- privacy preservation
- horizontally partitioned data
- privacy concerns
- distributed systems
- privacy sensitive
- privacy protection
- sensitive information
- peer to peer
- data sources
- private information
- private data
- data mining
- data sets