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2005.05752
Cited By
A Secure Federated Learning Framework for 5G Networks
12 May 2020
Yi Liu
Jia-Jie Peng
Jiawen Kang
Abdullah M. Iliyasu
Dusit Niyato
A. El-latif
FedML
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Papers citing
"A Secure Federated Learning Framework for 5G Networks"
41 / 41 papers shown
SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks
Sajid Hussain
Muhammad Sohail
Nauman Ali Khan
FedML
179
1
0
26 May 2025
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation
Heqing Ren
Chao Feng
Alberto Huertas
Burkhard Stiller
273
0
0
11 May 2025
Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning
Wireless Network Security (WiSec), 2025
Yiwei Zhang
R. Behnia
Imtiaz Karim
A. Yavuz
Elisa Bertino
216
2
0
11 May 2025
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence
Shuya Feng
Meisam Mohammady
Hanbin Hong
Shenao Yan
Ashish Kundu
Binghui Wang
Yuan Hong
FedML
448
5
0
20 Jul 2024
Optimisation of federated learning settings under statistical heterogeneity variations
Basem Suleiman
M. J. Alibasa
R. Purwanto
Lewis Jeffries
Ali Anaissi
Jacky Song
FedML
329
0
0
10 Jun 2024
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
Yumeng Shao
Jun Li
Long Shi
Kang Wei
Ming Ding
Qianmu Li
Zengxiang Li
Wen Chen
Shi Jin
FedML
240
1
0
11 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models
Chao Ren
Han Yu
Hongyi Peng
Xiaoli Tang
Anran Li
...
A. Tan
Bo Zhao
Xiaoxiao Li
Zengxiang Li
Qiang Yang
FedML
AIFin
AI4CE
495
3
0
23 Apr 2024
A Survey on Security of Ultra/Hyper Reliable Low Latency Communication: Recent Advancements, Challenges, and Future Directions
Annapurna Pradhan
Susmita Das
Md. Jalil Piran
Zhu Han
246
4
0
11 Apr 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
Anas Al-Lahham
Muhammad Zaigham Zaheer
Nurbek Tastan
Karthik Nandakumar
278
22
0
01 Apr 2024
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions
Zeju Cai
Jianguo Chen
Yuting Fan
Zibin Zheng
Keqin Li
231
30
0
01 Mar 2024
Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution
Y. Sagduyu
T. Erpek
Yi Shi
AAML
253
3
0
28 Dec 2023
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2023
Jorge Castillo
Phillip Rieger
Hossein Fereidooni
Qian Chen
Ahmad Sadeghi
FedML
AAML
200
10
0
03 Oct 2023
Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain
IEEE Transactions on Industrial Informatics (IEEE TII), 2023
Veronika Stephanie
Ibrahim Khalil
Mohammed Atiquzzaman
X. Yi
260
46
0
16 May 2023
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Guangsheng Yu
Xu Wang
Caijun Sun
Qin Wang
Ping Yu
Wei Ni
R. Liu
Xiwei Xu
OOD
AI4CE
237
39
0
07 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Yahao Ding
Zhaohui Yang
Quoc-Viet Pham
Zhaoyang Zhang
M. Shikh-Bahaei
306
73
0
03 Jan 2023
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks
IEEE Conference on Communications and Network Security (IEEE CNS), 2022
Y. Sagduyu
FedML
258
12
0
21 Dec 2022
Inverse Feasibility in Over-the-Air Federated Learning
IEEE Signal Processing Letters (SPL), 2022
Tomasz Piotrowski
R. Ismayilov
M. Frey
Renato L. G. Cavalcante
215
1
0
25 Nov 2022
A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks
Web Information System and Application Conference (WISA), 2022
Muhammad Firdaus
Kyung-Hyune Rhee
224
9
0
18 Aug 2022
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data
International Conference on Wireless Communications and Mobile Computing (IWCMC), 2022
Shadha Tabatabai
Ihab Mohammed
Basheer Qolomany
A. Albaseer
Kashif Ahmad
M. Abdallah
Ala I. Al-Fuqaha
FedML
185
4
0
29 Apr 2022
A Practical Cross-Device Federated Learning Framework over 5G Networks
IEEE wireless communications (IEEE Wireless Commun.), 2022
Wenti Yang
Naiyu Wang
Zhitao Guan
Longfei Wu
Xiaojiang Du
Mohsen Guizani
FedML
328
45
0
18 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks
Yi Shi
Y. Sagduyu
T. Erpek
FedML
216
21
0
06 Apr 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey
IEEE Transactions on Big Data (TBD), 2022
Ziyao Liu
Jiale Guo
Wenzhuo Yang
Jiani Fan
Kwok-Yan Lam
Jun Zhao
FedML
367
143
0
31 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions
Computer Science Review (CSR), 2022
Brian Hildebrand
Mohamed Baza
Tara Salman
Fathi H. Amsaad
Abdul Razaqu
Abdullah Alourani
206
64
0
21 Mar 2022
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey
IEEE Wireless Communications and Networking Conference (WCNC), 2022
Zhilin Wang
Qiao Kang
Xinyi Zhang
Qin Hu
AAML
FedML
259
29
0
13 Feb 2022
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT
IEEE Transactions on Industrial Informatics (TII), 2021
Peiying Zhang
Chao Wang
Chunxiao Jiang
Zhu Han
FedML
240
181
0
03 Feb 2022
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Seongin Na
Tomáš Rouček
Jiří Ulrich
Jan Pikman
T. Krajník
Barry Lennox
F. Arvin
305
51
0
02 Feb 2022
Jamming Attacks on Federated Learning in Wireless Networks
Yi Shi
Y. Sagduyu
261
15
0
13 Jan 2022
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Zhe Zhang
Shiyao Ma
Zhaohui Yang
Zehui Xiong
Jiawen Kang
Yi Wu
Kejia Zhang
Dusit Niyato
289
50
0
03 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering
Hunmin Lee
Yueyang Liu
Donghyun Kim
Yingshu Li
FedML
205
4
0
28 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain
F. Wilhelmi
L. Giupponi
Paolo Dini
312
7
0
15 Dec 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
Mohammad M. Al-Quraan
Lina S. Mohjazi
Lina Bariah
A. Centeno
A. Zoha
Sami Muhaidat
Mérouane Debbah
Muhammad Ali Imran
305
101
0
14 Nov 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
T. G.
Quoc-Viet Pham
Thien Huynh-The
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Sharnil Pandya
Madhusanka Liyanage
Wei Wang
Thanh Thi Nguyen
FedML
AI4CE
390
59
0
08 Oct 2021
Paving the Way for Distributed Artificial Intelligence over the Air
IEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2021
Guoqing Ma
Shuping Dang
Chuanting Zhang
B. Shihada
177
3
0
24 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
482
354
0
09 Sep 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Information Systems Frontiers (ISF), 2021
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
291
98
0
26 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey
ACM Computing Surveys (CSUR), 2021
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
470
651
0
14 Mar 2021
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles
Rui Wang
Heju Li
Erwu Liu
145
14
0
01 Mar 2021
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus
Hang Chen
Syed Ali Asif
Jihong Park
Chien-Chung Shen
M. Bennis
FedML
331
62
0
09 Jan 2021
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
Yi Liu
Ruihui Zhao
Jiawen Kang
A. Yassine
Dusit Niyato
Jia-Jie Peng
FedML
274
42
0
08 Dec 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Proceedings of the IEEE (Proc. IEEE), 2020
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
404
178
0
06 Aug 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
278
322
0
04 Jun 2020
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