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Towards Communication-efficient and Attack-Resistant Federated Edge
  Learning for Industrial Internet of Things

Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things

8 December 2020
Yi Liu
Ruihui Zhao
Jiawen Kang
A. Yassine
Dusit Niyato
Jia-Jie Peng
    FedML
ArXiv (abs)PDFHTML

Papers citing "Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things"

12 / 12 papers shown
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
Jiaqi Wu
Jing Liu
Yang Liu
Lixu Wang
Z. Wang
Wei Chen
Zijian Tian
Richard Yu
Victor C.M. Leung
146
2
0
26 Aug 2025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu
Yao Du
Kun Yang
Yan Wang
Yan Wang
...
Zehua Wang
Yang Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
513
35
0
03 May 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
267
0
0
03 Feb 2025
A Survey of Data Security: Practices from Cybersecurity and Challenges
  of Machine Learning
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning
Padmaksha Roy
Jaganmohan Chandrasekaran
Erin Lanus
Laura J. Freeman
Jeremy Werner
410
5
0
06 Oct 2023
Differentially Private Vertical Federated Learning
Differentially Private Vertical Federated Learning
Thilina Ranbaduge
Ming Ding
FedML
190
16
0
13 Nov 2022
Privacy-preserving Anomaly Detection in Cloud Manufacturing via
  Federated Transformer
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated TransformerIEEE Transactions on Industrial Informatics (IEEE TII), 2022
Shiyao Ma
Jiangtian Nie
Jiawen Kang
Lingjuan Lyu
R. W. Liu
Ruihui Zhao
Ziyao Liu
Dusit Niyato
FedML
233
29
0
02 Apr 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey
Privacy-Preserving Aggregation in Federated Learning: A SurveyIEEE Transactions on Big Data (TBD), 2022
Ziyao Liu
Jiale Guo
Wenzhuo Yang
Jiani Fan
Kwok-Yan Lam
Jun Zhao
FedML
358
140
0
31 Mar 2022
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative
  Learning for Industrial IoT
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoTIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2022
Jayasree Sengupta
Sushmita Ruj
Sipra Das Bit
163
5
0
22 Mar 2022
Robust Semi-supervised Federated Learning for Images Automatic
  Recognition in Internet of Drones
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of DronesIEEE Internet of Things Journal (IEEE IoT J.), 2022
Zhe Zhang
Shiyao Ma
Zhaohui Yang
Zehui Xiong
Jiawen Kang
Yi Wu
Kejia Zhang
Dusit Niyato
260
50
0
03 Jan 2022
On the Security & Privacy in Federated Learning
On the Security & Privacy in Federated Learning
Gorka Abad
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
367
13
0
10 Dec 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data:
  Formulation and Analysis
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Yi Liu
Yuanshao Zhu
James Jianqiao Yu
FedML
228
33
0
14 Oct 2021
FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 PneumoniaInformation Systems Frontiers (ISF), 2021
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedMLMedIm
275
98
0
26 Apr 2021
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