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2012.04436
Cited By
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
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Papers citing
"Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things"
12 / 12 papers shown
Title
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu
S. Garg
Jiangtian Nie
Yan Zhang
Zehui Xiong
Jiawen Kang
M. S. Hossain
FedML
49
378
0
19 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems
Vale Tolpegin
Stacey Truex
Mehmet Emre Gursoy
Ling Liu
FedML
97
646
0
16 Jul 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
Yi Liu
Lizhen Qu
Zehui Xiong
Jiawen Kang
Xiaofei Wang
Dusit Niyato
FedML
AI4CE
28
280
0
04 Jun 2020
A Secure Federated Learning Framework for 5G Networks
Yi Liu
Jia-Jie Peng
Jiawen Kang
Abdullah M. Iliyasu
Dusit Niyato
A. El-latif
FedML
22
196
0
12 May 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
Yi Liu
James Jianqiao Yu
Jiawen Kang
Dusit Niyato
Shuyu Zhang
AI4TS
43
445
0
19 Mar 2020
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
Zhaoxian Wu
Qing Ling
Tianyi Chen
G. Giannakis
FedML
AAML
49
182
0
29 Dec 2019
Abnormal Client Behavior Detection in Federated Learning
Suyi Li
Yong Cheng
Yang Liu
Wei Wang
Tianjian Chen
AAML
17
134
0
22 Oct 2019
Reliable Federated Learning for Mobile Networks
Jiawen Kang
Zehui Xiong
Dusit Niyato
Y. Zou
Yang Zhang
Mohsen Guizani
FedML
31
461
0
14 Oct 2019
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
Mengwei Yang
Linqi Song
Jie Xu
Congduan Li
Guozhen Tan
FedML
85
30
0
16 Jul 2019
Towards Federated Learning at Scale: System Design
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
...
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
68
2,652
0
04 Feb 2019
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Chengyue Wu
Song Han
Huizi Mao
Yu Wang
W. Dally
91
1,394
0
05 Dec 2017
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
243
4,620
0
18 Oct 2016
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