Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics

3 January 2023

Papers citing "Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics"

50 / 50 papers shown

Title
Quantum-Secured Space-Air-Ground Integrated Networks: Concept, Framework, and Case Study Minrui Xu Dusit Niyato Zehui Xiong Jiawen Kang Xianbin Cao X. Shen Chunyan Miao 33 23 0 19 Apr 2022
Aerial Computing: A New Computing Paradigm, Applications, and Challenges Quoc-Viet Pham Rukhsana Ruby Fang Fang Dinh C. Nguyen Zhaohui Yang Mai Le Zhiguo Ding Won Joo Hwang 36 56 0 05 Apr 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 75 425 0 24 Nov 2021
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks Yoo Jeong Ha Soyi Jung Jae-Hyun Kim Marco Levorato Joongheon Kim 41 4 0 15 Nov 2021
Machine Learning Methods for Management UAV Flocks -- a Survey Rina Azoulay Yoram Haddad S. Reches 47 11 0 30 Aug 2021
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation Mounssif Krouka Anis Elgabli Chaouki Ben Issaid M. Bennis 44 22 0 02 Jun 2021
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization Mohammed Jouhari A. Al-Ali Emna Baccour Amr M. Mohamed A. Erbad Mohsen Guizani Mounir Hamdi 39 41 0 23 May 2021
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication Won Joon Yun Byungju Lim Soyi Jung Young-Chai Ko Jihong Park Joongheon Kim M. Bennis 46 36 0 22 May 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 91 412 0 05 Apr 2021
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control Federico Venturini Federico Mason Francesco Pase Federico Chiariotti Alberto Testolin Andrea Zanella M. Zorzi 41 35 0 08 Mar 2021
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks Ye Hu Mingzhe Chen Walid Saad H. Vincent Poor Shuguang Cui 73 106 0 06 Dec 2020
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey Mohamed-Amine Lahmeri Mustafa A. Kishk Mohamed-Slim Alouini 56 102 0 24 Sep 2020
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing Liang Wang Kezhi Wang Cunhua Pan Wenyuan Xu N. Aslam L. Hanzo 49 286 0 23 Sep 2020
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 117 151 0 23 Jul 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 44 198 0 12 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 42 52 0 08 May 2020
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface Kai Yang Yuanming Shi Yong Zhou Zhanpeng Yang Liqun Fu Wei Chen 42 143 0 13 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 113 467 0 31 Mar 2020
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory Hamid Shiri Jihong Park M. Bennis 47 79 0 09 Mar 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 43 152 0 19 Feb 2020
Towards Brain-Computer Interfaces for Drone Swarm Control Ji-Hoon Jeong Dae-Hyeok Lee Hyung-Ju Ahn Seong-Whan Lee 20 24 0 03 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 234 6,252 0 10 Dec 2019
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 46 242 0 25 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 64 691 0 06 Nov 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 51 189 0 18 Sep 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 66 1,190 0 17 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 121 4,514 0 21 Aug 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 58 604 0 30 Jul 2019
Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations Behzad Khamidehi E. Sousa 29 23 0 23 Jun 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 88 1,440 0 24 May 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 707 0 03 Dec 2018
Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning Alireza Shamsoshoara M. Khaledi Fatemeh Afghah Abolfazl Razi Jonathan D. Ashdown 51 74 0 13 Nov 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 56 605 0 14 Oct 2018
Deep Joint Source-Channel Coding for Wireless Image Transmission Eirina Bourtsoulatze David Burth Kurka Deniz Gunduz 47 171 0 04 Sep 2018
Defending against Intrusion of Malicious UAVs with Networked UAV Defense Swarms Matthias R. Brust Grégoire Danoy Pascal Bouvry Dren Gashi Himadri Pathak Mike P. Gonçalves 37 60 0 21 Aug 2018
A Unified Framework for Joint Mobility Prediction and Object Profiling of Drones in UAV Networks Han Peng Abolfazl Razi Fatemeh Afghah Jonathan D. Ashdown 33 45 0 31 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 97 1,913 0 02 Jul 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Yue Liu AAML 85 759 0 01 Apr 2018
Leader-follower based Coalition Formation in Large-scale UAV Networks, A Quantum Evolutionary Approach Sajad Mousavi Fatemeh Afghah Jonathan D. Ashdown K. Turck 35 17 0 18 Feb 2018
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices Surat Teerapittayanon Bradley McDanel H. T. Kung FedML 74 715 0 06 Sep 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,482 0 07 Jun 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 115 1,401 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 246 4,122 0 18 Oct 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 293 4,643 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 128 1,897 0 08 Oct 2016
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 206 2,985 0 02 Nov 2015
Neural Networks with Few Multiplications Zhouhan Lin Matthieu Courbariaux Roland Memisevic Yoshua Bengio 84 331 0 11 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 253 8,833 0 01 Oct 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 109 1,589 0 27 Jun 2012