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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

Jun Zhao

Kwok-Yan Lam

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

15 / 15 papers shown

Title
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms Yi Liu Jiangtian Nie Xuandi Li Syed Hassan Ahmed Wei Yang Bryan Lim Chunyan Miao 89 149 0 23 Jul 2020
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory Hamid Shiri Jihong Park M. Bennis 24 78 0 09 Mar 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning Siqi Luo Xu Chen Qiong Wu Zhi Zhou Shuai Yu FedML 76 341 0 26 Feb 2020
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms Tengchan Zeng Omid Semiari Mohammad Mozaffari Mingzhe Chen Walid Saad M. Bennis FedML 24 150 0 19 Feb 2020
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing Liang Wang Kezhi Wang Cunhua Pan Wenyuan Xu N. Aslam A. Nallanathan 33 191 0 10 Nov 2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks M. Zhu Xiao-Yang Liu Xiaodong Wang 47 16 0 12 Jun 2019
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation Y. Chen Xiaoyan Sun Yaochu Jin FedML 34 437 0 18 Mar 2019
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 97 1,390 0 23 Apr 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 197 1,692 0 14 Apr 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 56 584 0 23 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 170 8,236 0 04 Jan 2018
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 249 4,620 0 18 Oct 2016
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 164 6,170 0 15 Sep 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 196 17,235 0 17 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 148 8,805 0 04 Feb 2016

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