@article{1461920,
      note = {4.2 Privacy},
      author = {Goebel, Randy. and Yu, Han and Faltings, Boi. and Fan,  Lixin and Xiong, Zehui.},
      url = {http://library.usi.edu/record/1461920},
      title = {Trustworthy federated learning : first International  Workshop, FL 2022, held in conjunction with IJCAI 2022,  Vienna, Austria, July 23, 2022, Revised selected papers /.  International Workshop on Trustworthy Federated Learning},
      publisher = {Springer,},
      abstract = {This book constitutes the refereed proceedings of the  First International Workshop, FL 2022, Held in Conjunction  with IJCAI 2022, held in Vienna, Austria, during July  23-25, 2022. The 11 full papers presented in this book were  carefully reviewed and selected from 12 submissions. They  are organized in three topical sections: answer set  programming; adaptive expert models for personalization in  federated learning and privacy-preserving federated  cross-domain social recommendation.},
      doi = {https://doi.org/10.1007/978-3-031-28996-5},
      recid = {1461920},
      pages = {1 online resource (168 p.).},
      address = {Cham :},
      year = {2023},
}