Vertical Federated Learning for Privacy-Preserving ML Model Development in Partially Disaggregated Networks

被引：3

作者：

Hashemi, Nazila ^{[1
]}

Safari, Pooyan ^{[1
]}

Shariati, Behnam ^{[1
]}

Fischer, Johannes Karl ^{[1
]}

机构：

[1] Heinrich Hertz Inst Nachrichtentech Berlin GmbH, Fraunhofer Inst Telecommun, Einsteinufer 37, D-10587 Berlin, Germany

来源：

2021 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC) | 2021年

关键词：

D O I：

10.1109/ECOC52684.2021.9605846

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present a novel framework that enables vendors and operators, with partial access to operational and monitoring features of a service, to collaboratively develop a ML-assisted solution without revealing any business-critical raw data to each other. We validate our proposal for a QoT estimation use-case.

引用

页数：4

共 50 条

[1] A privacy-preserving federated learning framework for blockchain networks
Abuzied, Youssif
Ghanem, Mohamed
Dawoud, Fadi
Gamal, Habiba
Soliman, Eslam
Sharara, Hossam
Elbatt, Tamer
[J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (04): : 3997 - 4014
[2] ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning
Xu, Wei
Zhu, Hui
Zheng, Yandong
Wang, Fengwei
Zhao, Jiaqi
Liu, Zhe
Li, Hui
[J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 17 (03) : 878 - 892
[3] Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System
Wu, Yuncheng
Xing, Naili
Chen, Gang
Dinh, Tien Tuan Anh
Luo, Zhaojing
Ooi, Beng Chin
Xiao, Xiaokui
Zhang, Meihui
[J]. PROCEEDINGS OF THE VLDB ENDOWMENT, 2023, 16 (10): : 2471 - 2484
[4] OpenVFL: A Vertical Federated Learning Framework With Stronger Privacy-Preserving
Yang, Yunbo
Chen, Xiang
Pan, Yuhao
Shen, Jiachen
Cao, Zhenfu
Dong, Xiaolei
Li, Xiaoguo
Sun, Jianfei
Yang, Guomin
Deng, Robert
[J]. IEEE Transactions on Information Forensics and Security, 2024, 19 : 9670 - 9681
[5] Privacy-Preserving Data Selection for Horizontal and Vertical Federated Learning
Zhang, Lan
Li, Anran
Peng, Hongyi
Han, Feng
Huang, Fan
Li, Xiang-Yang
[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 35 (11) : 2054 - 2068
[6] Vertical Federated Learning Based Privacy-Preserving Cooperative Sensing in Cognitive Radio Networks
Zhang, Yirun
Wu, Qirui
Shikh-Bahaei, Mohammad
[J]. 2020 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2020,
[7] Local Model Privacy-Preserving Study for Federated Learning
Pan, Kaiyun
He, Daojing
Xu, Chuan
[J]. SECURITY AND PRIVACY IN COMMUNICATION NETWORKS, SECURECOMM 2021, PT I, 2021, 398 : 287 - 307
[8] Privacy-Preserving Federated Learning Model for Healthcare Data
Ul Islam, Tanzir
Ghasemi, Reza
Mohammed, Noman
[J]. 2022 IEEE 12TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2022, : 281 - 287
[9] Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
Gao, Dashan
Wan, Sheng
Fan, Lixin
Yao, Xin
Yang, Qiang
[J]. THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 18, 2024, : 19832 - 19839
[10] Privacy-Preserving Personalized Federated Learning
Hu, Rui
Guo, Yuanxiong
Li, Hongning
Pei, Qingqi
Gong, Yanmin
[J]. ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,

← 1 2 3 4 5 →