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Keyword

model aggregation

Description: The combination of locally trained machine-learning models into a shared model, especially in federated learning.
OpenAlex ID: keywords/model-aggregation
A survey on federated learning
2021 · Chen Zhang, Yu Xie, et al. · Knowledge-Based Systems · 1,896
Federated Learning via Over-the-Air Computation
2020 · Kai Yang, Tao Jiang, et al. · IEEE Transactions on Wireless Communications · 1,085
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A Survey on Distributed Machine Learning
2020 · Joost Verbraeken, Matthijs Wolting, et al. · ACM Computing Surveys · 890
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A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond
2020 · Sawsan Abdulrahman, Hanine Tout, et al. · IEEE Internet of Things Journal · 795
Federated-Learning-Based Anomaly Detection for IoT Security Attacks
2021 · Viraaji Mothukuri, Prachi Khare, et al. · IEEE Internet of Things Journal · 724
Ensemble Distillation for Robust Model Fusion in Federated Learning
2020 · Lin, Tao, Kong, Lingjing, et al. · arXiv (Cornell University) · 711
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A Comprehensive Survey of Privacy-preserving Federated Learning
2021 · Xuefei Yin, Yanming Zhu, et al. · ACM Computing Surveys · 635
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Multiscale modeling of spatially variable water and energy balance processes
1994 · J. S. Famiglietti, E. F. Wood · Water Resources Research · 628
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Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
2020 · Yang Zhao, Jun Zhao, et al. · IEEE Internet of Things Journal · 601
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Federated Learning for Healthcare: Systematic Review and Architecture Proposal
2022 · Rodolfo Stoffel Antunes, Cristiano André da Costa, et al. · ACM Transactions on Intelligent Systems and Technology · 588
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data
2020 · Yujing Chen, Yue Ning, et al. · IEEE International Conference on Big Data (BigData) · 473
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Model aggregation techniques in federated learning: A comprehensive survey
2023 · Pian Qi, Diletta Chiaro, et al. · Future Generation Computer Systems · 457
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
2020 · Siqi Luo, Xu Chen, et al. · IEEE Transactions on Wireless Communications · 455
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FedALA: Adaptive Local Aggregation for Personalized Federated Learning
2023 · Jianqing Zhang, Yang Hua, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 441
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The fleet assignment problem: Solving a large-scale integer program
1995 · Christopher A. Hane, Cynthia Barnhart, et al. · Mathematical Programming · 419
A state-of-the-art survey on solving non-IID data in Federated Learning
2022 · Xiaodong Ma, Jia Zhu, et al. · Future Generation Computer Systems · 403
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
2022 · Lin Zhang, Li Shen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 390
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Asynchronous federated learning on heterogeneous devices: A survey
2023 · Chenhao Xu, Youyang Qu, et al. · Computer Science Review · 336
On Safeguarding Privacy and Security in the Framework of Federated Learning
2020 · Chuan Ma, Jun Li, et al. · IEEE Network · 317
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FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things
2022 · Othmane Friha, Mohamed Amine Ferrag, et al. · Journal of Parallel and Distributed Computing · 316
Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions
2022 · Juncen Zhu, Jiannong Cao, et al. · ACM Computing Surveys · 302
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision
2020 · Wei Zhang, Xiang Li, et al. · Knowledge-Based Systems · 301
Privacy-Preserving Federated Learning in Fog Computing
2020 · Chunyi Zhou, Anmin Fu, et al. · IEEE Internet of Things Journal · 252
FFD: A Federated Learning Based Method for Credit Card Fraud Detection
2019 · Wensi Yang, Yuhang Zhang, et al. · Lecture notes in computer science · 242
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT
2021 · Peiying Zhang, Chao Wang, et al. · IEEE Transactions on Industrial Informatics · 236
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Works count: 3,932
Citation count: 52,310
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