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Privacy-Preserving Federated Learning for UAV-Enabled Networks:
  Learning-Based Joint Scheduling and Resource Management

Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

28 November 2020
Helin Yang
Jun Zhao
Zehui Xiong
Kwok-Yan Lam
Sumei Sun
Liang Xiao
ArXivPDFHTML

Papers citing "Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management"

14 / 14 papers shown
Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
61
0
0
08 May 2025
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT
Xiaohong Yang
Minghui Liwang
Liqun Fu
Yuhan Su
Seyyedali Hosseinalipour
Xianbin Wang
Yiguang Hong
56
0
0
08 Mar 2025
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing
Qingqing Ren
Wen Wang
Shuyong Zhu
Zhiyuan Wu
Yujun Zhang
40
0
0
02 Jan 2025
Federated Learning in UAV-Enhanced Networks: Joint Coverage and
  Convergence Time Optimization
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization
Mariam Yahya
S. Maghsudi
S. Stańczak
26
3
0
31 Aug 2023
Gradient Sparsification for Efficient Wireless Federated Learning with
  Differential Privacy
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Feng Shu
Haitao Zhao
Wen Chen
Hongbo Zhu
FedML
35
4
0
09 Apr 2023
Privacy and Efficiency of Communications in Federated Split Learning
Privacy and Efficiency of Communications in Federated Split Learning
Zongshun Zhang
Andrea Pinto
Valeria Turina
Flavio Esposito
I. Matta
FedML
38
32
0
04 Jan 2023
Enhancing Federated Learning with spectrum allocation optimization and
  device selection
Enhancing Federated Learning with spectrum allocation optimization and device selection
Tinghao Zhang
Kwok-Yan Lam
Jun Zhao
Feng-Qiang Li
Huimei Han
N. Jamil
35
11
0
27 Dec 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic
  Literature Review
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
Leon Witt
Mathis Heyer
Kentaroh Toyoda
Wojciech Samek
Dan Li
FedML
38
47
0
07 May 2022
Latency Optimization for Blockchain-Empowered Federated Learning in
  Multi-Server Edge Computing
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
Dinh C. Nguyen
Seyyedali Hosseinalipour
David J. Love
P. Pathirana
Christopher G. Brinton
34
47
0
18 Mar 2022
5G Network on Wings: A Deep Reinforcement Learning Approach to the
  UAV-based Integrated Access and Backhaul
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Hongyi Zhang
Z. Qi
Jingya Li
Anders Aronsson
Jan Bosch
Helena Holmström Olsson
31
8
0
04 Feb 2022
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
104
245
0
09 Sep 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A
  Hierarchical Nested Personalized Federated Learning Approach
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
Su Wang
Seyyedali Hosseinalipour
M. Gorlatova
Christopher G. Brinton
M. Chiang
40
36
0
29 Jun 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
357
0
07 Dec 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,688
0
14 Apr 2018
1