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An End-to-End Encrypted Neural Network for Gradient Updates Transmission
  in Federated Learning

An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning

Data Compression Conference (DCC), 2019
22 August 2019
Hongyu Li
Tianqi Han
    FedML
ArXiv (abs)PDFHTML

Papers citing "An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning"

13 / 13 papers shown
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models
Huiwen Wu
Xiaohan Li
Deyi Zhang
Xiaohan Li
Yan Han
Puning Zhao
FedML
367
3
0
22 May 2024
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
Ozlem Ceviz
Pinar Sadioglu
Sevil Sen
U. York
216
19
0
07 Dec 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and PrivacyThe Web Conference (WWW), 2023
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
391
72
0
21 Feb 2023
Encoded Gradients Aggregation against Gradient Leakage in Federated
  Learning
Encoded Gradients Aggregation against Gradient Leakage in Federated Learning
Dun Zeng
Shiyu Liu
Siqi Liang
Zonghang Li
Hongya Wang
Irwin King
Zenglin Xu
FedML
286
0
0
26 May 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security
  for Distributed Learning
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed LearningProceedings of the IEEE (Proc. IEEE), 2022
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
422
74
0
18 Feb 2022
PIVODL: Privacy-preserving vertical federated learning over distributed
  labels
PIVODL: Privacy-preserving vertical federated learning over distributed labelsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Hangyu Zhu
Rui Wang
Yaochu Jin
K. Liang
FedML
261
34
0
25 Aug 2021
Federated Learning for Intrusion Detection System: Concepts, Challenges
  and Future Directions
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
Shaashwat Agrawal
Sagnik Sarkar
Ons Aouedi
Gokul Yenduri
Kandaraj Piamrat
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Thippa Reddy Gadekallu
227
370
0
16 Jun 2021
Federated Learning on Non-IID Data: A Survey
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OODFedML
497
1,182
0
12 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial IntelligenceIEEE Communications Surveys and Tutorials (COMST), 2021
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
402
132
0
04 May 2021
Auction Based Clustered Federated Learning in Mobile Edge Computing
  System
Auction Based Clustered Federated Learning in Mobile Edge Computing System
Renhao Lu
Weizhe Zhang
Qiong Li
Xiaoxiong Zhong
A. Vasilakos
FedML
187
10
0
12 Mar 2021
Distributed Additive Encryption and Quantization for Privacy Preserving
  Federated Deep Learning
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep LearningNeurocomputing (Neurocomputing), 2020
Hangyu Zhu
Rui Wang
Yaochu Jin
K. Liang
Jianting Ning
FedML
241
60
0
25 Nov 2020
A Systematic Literature Review on Federated Machine Learning: From A
  Software Engineering Perspective
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo
Qinghua Lu
Chen Wang
Hye-Young Paik
Liming Zhu
FedML
811
94
0
22 Jul 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive
  Strategies
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
David Enthoven
Zaid Al-Ars
FedML
192
59
0
01 Apr 2020
1
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