PRIVACY-PRESERVING SERVICES USING FEDERATED LEARNING

被引：0
|
作者：
Taylor, Paul
Kiss, Stephanie
Gullon, Lucy
Yearling, David
机构：
来源：
Journal of the Institute of Telecommunications Professionals | 2022年 / 16卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：16 / 22
相关论文
共 50 条
  • [21] Contribution Measurement in Privacy-Preserving Federated Learning
    Hsu, Ruei-hau
    Yu, Yi-an
    Su, Hsuan-cheng
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2024, 40 (06) : 1173 - 1196
  • [22] Privacy-Preserving Federated Learning in Fog Computing
    Zhou, Chunyi
    Fu, Anmin
    Yu, Shui
    Yang, Wei
    Wang, Huaqun
    Zhang, Yuqing
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (11): : 10782 - 10793
  • [23] Federated Learning for Privacy-Preserving Speaker Recognition
    Woubie, Abraham
    Backstrom, Tom
    IEEE ACCESS, 2021, 9 : 149477 - 149485
  • [24] Privacy-Preserving Decentralized Aggregation for Federated Learning
    Jeon, Beomyeol
    Ferdous, S. M.
    Rahmant, Muntasir Raihan
    Walid, Anwar
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021), 2021,
  • [25] Privacy-Preserving Federated Learning via Disentanglement
    Zhou, Wenjie
    Li, Piji
    Han, Zhaoyang
    Lu, Xiaozhen
    Li, Juan
    Ren, Zhaochun
    Liu, Zhe
    PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 3606 - 3615
  • [26] GAIN: Decentralized Privacy-Preserving Federated Learning
    Jiang, Changsong
    Xu, Chunxiang
    Cao, Chenchen
    Chen, Kefei
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2023, 78
  • [27] Privacy-preserving Decentralized Federated Deep Learning
    Zhu, Xudong
    Li, Hui
    PROCEEDINGS OF ACM TURING AWARD CELEBRATION CONFERENCE, ACM TURC 2021, 2021, : 33 - 38
  • [28] Privacy-Preserving and Reliable Distributed Federated Learning
    Dong, Yipeng
    Zhang, Lei
    Xu, Lin
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2023, PT I, 2024, 14487 : 130 - 149
  • [29] Measuring Contributions in Privacy-Preserving Federated Learning
    Pejo, Balazs
    Biczok, Gergely
    Acs, Gergely
    ERCIM NEWS, 2021, (126): : 35 - 36
  • [30] A Privacy-Preserving and Verifiable Federated Learning Scheme
    Zhang, Xianglong
    Fu, Anmin
    Wang, Huaqun
    Zhou, Chunyi
    Chen, Zhenzhu
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
12345