@inproceedings{chen:hal-03266470,
  TITLE = {{Network Anomaly Detection Using Federated Deep Autoencoding Gaussian Mixture Model}},
  AUTHOR = {Chen, Yang and Zhang, Junzhe and Yeo, Chai Kiat},
  URL = {https://inria.hal.science/hal-03266470},
  BOOKTITLE = {{2nd International Conference on Machine Learning for Networking (MLN)}},
  ADDRESS = {Paris, France},
  EDITOR = {Selma Boumerdassi and {\'E}ric Renault and Paul M{\"u}hlethaler},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Machine Learning for Networking},
  VOLUME = {LNCS-12081},
  PAGES = {1-14},
  YEAR = {2019},
  MONTH = Dec,
  DOI = {10.1007/978-3-030-45778-5\_1},
  KEYWORDS = {Anomaly detection ; Small dataset ; Privacy-preserving ; Federated learning ; Deep autoencoding Gaussian mixture model ; Network security},
  PDF = {https://inria.hal.science/hal-03266470/file/487577_1_En_1_Chapter.pdf},
  HAL_ID = {hal-03266470},
  HAL_VERSION = {v1},
}