Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence

4 May 2021

Papers citing "Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence"

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Title
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Ke Xu Quyang Pan Bo Gao Tian Wen FedML 57 1 0 03 Jan 2025
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain Amin Zakaie Far Mohammad Zakaie Far Sonia Gharibzadeh Shiva Zangeneh Leila Amini Morteza Rahimi Morteza Rahimi Saeed Asadi 62 5 0 24 Sep 2024
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 45 14 0 27 Aug 2022
Federated Self-supervised Learning for Heterogeneous Clients Disha Makhija Nhat Ho Joydeep Ghosh FedML 76 26 0 25 May 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 243 30,108 0 01 Mar 2022
Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks Marwan Dhuheir Emna Baccour A. Erbad Sinan Sabeeh Mounir Hamdi 46 17 0 09 Jul 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
Adversarial attacks in consensus-based multi-agent reinforcement learning Martin Figura K. Kosaraju V. Gupta AAML 88 28 0 11 Mar 2021
Federated Multi-armed Bandits with Personalization Chengshuai Shi Cong Shen Jing Yang FedML 69 85 0 25 Feb 2021
Multi-Agent Multi-Armed Bandits with Limited Communication Mridul Agarwal Vaneet Aggarwal Kamyar Azizzadenesheli 60 33 0 10 Feb 2021
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 108 93 0 28 Jan 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 63 101 0 17 Jan 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 74 115 0 02 Dec 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 40 60 0 18 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 175 241 0 06 Nov 2020
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 35 20 0 25 Oct 2020
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 203 83 0 24 Oct 2020
Differentially-Private Federated Linear Bandits Abhimanyu Dubey Alex Pentland FedML 68 117 0 22 Oct 2020
Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs Bofu Yang Xuelin Cao Chau Yuen Lijun Qian 58 110 0 18 Aug 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems Wentai Wu Ligang He Weiwei Lin Rui Mao 39 80 0 28 Jul 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 117 150 0 23 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 111 653 0 16 Jul 2020
Distributed Training of Deep Learning Models: A Taxonomic Perspective M. Langer Zhen He W. Rahayu Yanbo Xue 47 76 0 08 Jul 2020
Free-rider Attacks on Model Aggregation in Federated Learning Yann Fraboni Richard Vidal Marco Lorenzi FedML 44 129 0 21 Jun 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 46 280 0 04 Jun 2020
The Internet of Things as a Deep Neural Network Rong Du Sindri Magnússon Carlo Fischione 32 7 0 23 Mar 2020
Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM Rui Zhang Quanyan Zhu AAML 22 5 0 08 Mar 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska Shanghang Zhang A. Leon-Garcia Nicolas Papernot AAML 104 68 0 08 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 56 334 0 22 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 40 151 0 19 Feb 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 32 87 0 16 Feb 2020
Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics Nicolas Aussel S. Chabridon Y. Petetin AI4CE FedML 47 15 0 21 Jan 2020
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits Ronshee Chawla Abishek Sankararaman A. Ganesh Sanjay Shakkottai 44 52 0 15 Jan 2020
A Survey on Distributed Machine Learning Joost Verbraeken Matthijs Wolting Jonathan Katzy Jeroen Kloppenburg Tim Verbelen Jan S. Rellermeyer OOD 81 707 0 20 Dec 2019
Learning Agent Communication under Limited Bandwidth by Message Pruning Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong Yan Ni 51 90 0 03 Dec 2019
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents Dong-hwan Lee Niao He Parameswaran Kamalaruban Volkan Cevher 27 89 0 01 Dec 2019
A Crowdsourcing Framework for On-Device Federated Learning Shashi Raj Pandey N. H. Tran M. Bennis Y. Tun Aunas Manzoor Choong Seon Hong FedML 62 252 0 04 Nov 2019
Deep Learning at the Edge Sahar Voghoei N. Tonekaboni Jason G. Wallace H. Arabnia 132 41 0 22 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,251 0 22 Oct 2019
Federated Generative Privacy Aleksei Triastcyn Boi Faltings FedML 31 63 0 18 Oct 2019
Differential Privacy-enabled Federated Learning for Sensitive Health Data Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML OOD 47 176 0 07 Oct 2019
Social Learning in Multi Agent Multi Armed Bandits Abishek Sankararaman A. Ganesh Sanjay Shakkottai 68 85 0 04 Oct 2019
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud Ashkan Yousefpour Siddartha Devic Brian Q. Nguyen Aboudy Kreidieh Alan Liao Alexandre M. Bayen J. Jue FedML GNN 50 24 0 03 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Yuxiang Cai Schahram Dustdar Albert Y. Zomaya 91 613 0 02 Sep 2019
An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning Hongyu Li Tianqi Han FedML 52 32 0 22 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 112 4,509 0 21 Aug 2019
Distributed Deep Convolutional Neural Networks for the Internet-of-Things Simone Disabato M. Roveri Cesare Alippi 43 48 0 02 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 51 382 0 31 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 63 205 0 22 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 74 996 0 19 Jul 2019