In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

19 September 2018

Xu Chen

Min Chen

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Papers citing "In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning"

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Title
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning Ahmed Alagha Jamal Bentahar Hadi Otrok Shakti Singh R. Mizouni 60 3 0 19 Jan 2025
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices Guangyu Zhu Yiqin Deng Xianhao Chen Haixia Zhang Yuguang Fang Tan F. Wong FedML 27 6 0 24 Feb 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 41 7 0 07 Dec 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 40 0 0 01 Aug 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 32 3 0 17 Feb 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 31 21 0 04 Feb 2023
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling Zheqi Zhu Yuchen Shi Pingyi Fan Chenghui Peng Khaled B. Letaief FedML 30 8 0 05 Oct 2022
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference Mu Yuan Lan Zhang Fengxiang He Xueting Tong Miao-Hui Song Zhengyuan Xu Xiang-Yang Li 32 2 0 28 Sep 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 50 91 0 05 Aug 2022
Defending against the Label-flipping Attack in Federated Learning N. Jebreel J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia AAML 18 36 0 05 Jul 2022
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 45 57 0 02 Jul 2022
Distributed Evolution Strategies for Black-box Stochastic Optimization Xiaoyu He Zibin Zheng Chuan Chen Yuren Zhou Chuan Luo Qingwei Lin 29 5 0 09 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 50 22 0 07 Apr 2022
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs F. Wilhelmi Jernej Hribar Selim F. Yilmaz Emre Ozfatura Kerem Ozfatura ... Xiaoying Ye Lizhao You Yulin Shao Paolo Dini B. Bellalta 26 10 0 20 Mar 2022
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT Peiying Zhang Chao Wang Chunxiao Jiang Zhu Han FedML 15 146 0 03 Feb 2022
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence Pengjin Wei Kun Guo Ye Li Jue Wang W. Feng Shi Jin Ning Ge Ying-Chang Liang 33 45 0 27 Jan 2022
Cache Allocation in Multi-Tenant Edge Computing via online Reinforcement Learning Ayoub Ben-Ameur Andrea Araldo T. Chahed OffRL 43 8 0 24 Jan 2022
Towards Federated Clustering: A Federated Fuzzy $c$ -Means Algorithm (FFCM) Morris Stallmann A. Wilbik FedML 38 37 0 18 Jan 2022
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster Zhongzheng Yuan Tommy Azzino Yu Hao Yixuan Lyu Haoyang Pei ... W. Seiple Yi Fang S. Rangan Yao Wang John-Ross Rizzo 34 16 0 25 Dec 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 49 51 0 09 Nov 2021
Paving the Way for Distributed Artificial Intelligence over the Air Guoqing Ma Shuping Dang Chuanting Zhang B. Shihada 27 3 0 24 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks Chenyuan Feng Heng Yang Deshun Hu Zhiwei Zhao Tony Q.S. Quek Geyong Min 38 74 0 20 Aug 2021
Accelerating Edge Intelligence via Integrated Sensing and Communication Tong Zhang Shuai Wang Guoliang Li Fan Liu Guangxu Zhu Rui Wang 23 34 0 20 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 22 6 0 07 Jul 2021
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 36 35 0 20 Jun 2021
A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks Nikolaos Nomikos Spyros Zoupanos Themistoklis Charalambous I. Krikidis Athina P. Petropulu 28 1 0 12 May 2021
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks Bofu Yang Omobayode Fagbohungbe Xuelin Cao Chau Yuen Lijun Qian Dusit Niyato Yan Zhang 39 32 0 19 Apr 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 45 402 0 05 Apr 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Viet Quoc Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 36 418 0 05 Apr 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 23 38 0 20 Mar 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 47 22 0 31 Dec 2020
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data N. Mhaisen Alaa Awad Amr M. Mohamed A. Erbad Mohsen Guizani FedML 53 12 0 10 Dec 2020
Security and Privacy for Mobile Edge Caching: Challenges and Solutions Jianbing Ni Kuan Zhang A. Vasilakos 34 62 0 06 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 50 111 0 02 Dec 2020
True-data Testbed for 5G/B5G Intelligent Network Yongming Huang Shengheng Liu Cheng Zhang X. You Hequan Wu 17 26 0 26 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee Tiansheng Huang Weiwei Lin Wentai Wu Ligang He Keqin Li Albert Y. Zomaya FedML 36 222 0 03 Nov 2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security Sheng Shen Tianqing Zhu Di Wu Wei Wang Wanlei Zhou FedML OOD 23 77 0 19 Oct 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach T. Le N. H. Tran Y. Tun Minh N. H. Nguyen Shashi Raj Pandey Zhu Han Choong Seon Hong FedML 29 152 0 22 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 39 161 0 06 Aug 2020
Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems Jorge Peña Queralta Qingqing Li Zhuo Zou Tomi Westerlund 32 34 0 01 Jul 2020
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning Wei Yang Bryan Lim Jer Shyuan Ng Zehui Xiong Dusit Niyato Cyril Leung Chunyan Miao Qiang Yang FedML 29 25 0 31 May 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data Xinwei Zhang Mingyi Hong S. Dhople W. Yin Yang Liu FedML 23 228 0 22 May 2020
Reinforcement Learning for Caching with Space-Time Popularity Dynamics A. Sadeghi G. Giannakis Gang Wang Fatemeh Sheikholeslami 21 1 0 19 May 2020
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface Kai Yang Yuanming Shi Yong Zhou Zhanpeng Yang Liqun Fu Wei Chen 27 142 0 13 Apr 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 22 14 0 18 Mar 2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC Rongfei Zeng Shixun Zhang Jiaqi Wang Xiaowen Chu FedML 32 180 0 22 Feb 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 22 295 0 22 Jan 2020
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 34 1,181 0 17 Sep 2019