Adaptive Federated Learning and Digital Twin for Industrial Internet of Things

25 October 2020

Papers citing "Adaptive Federated Learning and Digital Twin for Industrial Internet of Things"

27 / 27 papers shown

Title
Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks Yuzhi Zhou Yaru Fu Zheng Shi Howard H. Yang Kevin Hung Wenjie Qu 55 0 0 20 Mar 2025
A Novel Buffered Federated Learning Framework for Privacy-Driven Anomaly Detection in IIoT Samira Kamali Poorazad Chafika Benzaid T. Taleb 31 2 0 16 Aug 2024
Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning Zifan Zhang Mingzhe Chen Zhaohui Yang Yuchen Liu 21 4 0 22 Apr 2024
Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning Chong Yu Shuaiqi Shen Shiqiang Wang Kuan Zhang Hai Zhao FedML 41 3 0 15 Apr 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 33 7 0 07 Dec 2023
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks Su Wang Roberto Morabito Seyyedali Hosseinalipour Mung Chiang Christopher G. Brinton FedML 32 7 0 07 Nov 2023
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning Xavier Tan Han Yu FedML 37 3 0 04 Oct 2023
Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud Computing Environment Ziru Zhang Xuling Zhang Guangzhi Zhu Yuyang Wang Pan Hui 15 1 0 12 Jul 2023
A Digital Twin Empowered Lightweight Model Sharing Scheme for Multi-Robot Systems Kai Xiong Zhihong Wang S. Leng Jianhua He 14 7 0 03 May 2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Christo Kurisummoottil Thomas Walid Saad Yong Xiao 37 20 0 25 Apr 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 28 1 0 27 Mar 2023
Delay-Aware Hierarchical Federated Learning F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 26 11 0 22 Mar 2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Yuntao Wang Zhou Su Shaolong Guo Minghui Dai Tom H. Luan Yiliang Liu 24 107 0 31 Jan 2023
Digital Twin for Real-time Li-ion Battery State of Health Estimation with Partially Discharged Cycling Data Yan Qin Anushiya Arunan Chau Yuen 21 32 0 09 Dec 2022
GitFL: Adaptive Asynchronous Federated Learning using Version Control Ming Hu Zeke Xia Zhihao Yue Jun Xia Yihao Huang Yang Liu Mingsong Chen FedML 31 14 0 22 Nov 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu SyDa AI4CE 27 188 0 26 Aug 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 41 11 0 07 Jul 2022
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Qian Chen Zilong Wang Jiawei Chen Haonan Yan Xiaodong Lin FedML 10 17 0 08 Jun 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 32 119 0 18 Mar 2022
Artificial Intelligence for the Metaverse: A Survey Thien Huynh-The Viet Quoc Pham Xuan-Qui Pham Thanh Thi Nguyen Zhu Han Dong-Seong Kim 33 408 0 15 Feb 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 242 0 09 Sep 2021
Federated Learning for Industrial Internet of Things in Future Industries Dinh C. Nguyen Ming Ding P. Pathirana A. Seneviratne Jun Li Dusit Niyato H. Vincent Poor FedML AI4CE 50 67 0 31 May 2021
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain Shuo Yuan Bin Cao Yaohua Sun Zhiguo Wan M. Peng 22 20 0 27 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 23 44 0 21 Apr 2021
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 1,687 0 14 Apr 2018