标题
Applications of Federated Learning; Taxonomy, Challenges, and Research Trends
作者
关键词
-
出版物
Electronics
Volume 11, Issue 4, Pages 670
出版商
MDPI AG
发表日期
2022-02-22
DOI
10.3390/electronics11040670
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Efficient Federated Meta-Learning over Multi-Access Wireless Networks
- (2022) Sheng Yue et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Ground-Assisted Federated Learning in LEO Satellite Constellations
- (2022) Nasrin Razmi et al. IEEE Wireless Communications Letters
- Privacy-preserving Federated Deep Learning for Wearable IoT-based Biomedical Monitoring
- (2021) Yekta Said Can et al. ACM Transactions on Internet Technology
- A survey on federated learning
- (2021) Chen Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems
- (2021) Stefano Savazzi et al. IEEE COMMUNICATIONS MAGAZINE
- Agent architecture of an intelligent medical system based on federated learning and blockchain technology
- (2021) Dawid Połap et al. Journal of Information Security and Applications
- Federated Learning in a Medical Context: A Systematic Literature Review
- (2021) Bjarne Pfitzner et al. ACM Transactions on Internet Technology
- FedSA: A staleness-aware asynchronous Federated Learning algorithm with non-IID data
- (2021) Ming Chen et al. Future Generation Computer Systems-The International Journal of eScience
- Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
- (2021) Mohammad Mohammadi Amiri et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing
- (2021) Anbu Huang et al. ACM Transactions on Intelligent Systems and Technology
- Implementation Framework for a Blockchain-Based Federated Learning Model for Classification Problems
- (2021) Zeba Mahmood et al. Symmetry-Basel
- Precision functional mapping of the subcortex and cerebellum
- (2021) Scott Marek et al. Current Opinion in Behavioral Sciences
- Light through the fog: using precision fMRI data to disentangle the neural substrates of cognitive control
- (2021) Derek M Smith et al. Current Opinion in Behavioral Sciences
- Wireless Federated Learning (WFL) for 6G Networks⁴Part I: Research Challenges and Future Trends
- (2021) Pavlos S. Bouzinis et al. IEEE COMMUNICATIONS LETTERS
- SecureBoost: A Lossless Federated Learning Framework
- (2021) Kewei Cheng et al. IEEE INTELLIGENT SYSTEMS
- FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting
- (2021) Chenhan Zhang et al. IEEE Transactions on Industrial Informatics
- Dispersed Federated Learning: Vision, Taxonomy, and Future Directions
- (2021) Latif U. Khan et al. IEEE WIRELESS COMMUNICATIONS
- A federated learning system with enhanced feature extraction for human activity recognition
- (2021) Zhiwen Xiao et al. KNOWLEDGE-BASED SYSTEMS
- Federated learning on non-IID data: A survey
- (2021) Hangyu Zhu et al. NEUROCOMPUTING
- Fast-adapting and privacy-preserving federated recommender system
- (2021) Qinyong Wang et al. VLDB JOURNAL
- Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain
- (2021) Xu Zhang et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Federated Learning: Challenges, Methods, and Future Directions
- (2020) Tian Li et al. IEEE SIGNAL PROCESSING MAGAZINE
- Reliable Federated Learning for Mobile Networks
- (2020) Jiawen Kang et al. IEEE WIRELESS COMMUNICATIONS
- Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges
- (2020) Solmaz Niknam et al. IEEE COMMUNICATIONS MAGAZINE
- Federated Learning With Blockchain for Autonomous Vehicles: Analysis and Design Challenges
- (2020) Shiva Raj Pokhrel et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
- (2020) Yiqiang Chen et al. IEEE INTELLIGENT SYSTEMS
- Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results
- (2020) Xiaoxiao Li et al. MEDICAL IMAGE ANALYSIS
- Privacy preserving vertical federated learning for tree-based models
- (2020) Yuncheng Wu et al. Proceedings of the VLDB Endowment
- Internet Traffic Classification with Federated Learning
- (2020) Hyunsu Mun et al. Electronics
- A survey on security and privacy of federated learning
- (2020) Viraaji Mothukuri et al. Future Generation Computer Systems-The International Journal of eScience
- Federated learning improves site performance in multicenter deep learning without data sharing
- (2020) Karthik V Sarma et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Federated learning for machinery fault diagnosis with dynamic validation and self-supervision
- (2020) Wei Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets
- (2020) Dianwen Ng et al. Quantitative Imaging in Medicine and Surgery
- Privacy-preserving blockchain-based federated learning for traffic flow prediction
- (2020) Yuanhang Qi et al. Future Generation Computer Systems-The International Journal of eScience
- Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
- (2020) Felix Sattler et al. IEEE Transactions on Neural Networks and Learning Systems
- The promise of awake behaving infant fMRI as a deep measure of cognition
- (2020) Tristan S Yates et al. Current Opinion in Behavioral Sciences
- Federated Forest
- (2020) Yang Liu et al. IEEE Transactions on Big Data
- Federated Machine Learning
- (2019) Qiang Yang et al. ACM Transactions on Intelligent Systems and Technology
- In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
- (2019) Xiaofei Wang et al. IEEE NETWORK
- Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT
- (2019) Jed Mills et al. IEEE Internet of Things Journal
- Privacy-preserving ridge regression on distributed data
- (2018) Yi-Ruei Chen et al. INFORMATION SCIENCES
- Federated learning of predictive models from federated Electronic Health Records
- (2018) Theodora S. Brisimi et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- LSTM: A Search Space Odyssey
- (2017) Klaus Greff et al. IEEE Transactions on Neural Networks and Learning Systems
- Achieving a Nationwide Learning Health System
- (2010) C. P. Friedman et al. Science Translational Medicine
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More