Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konečný, H. Brendan McMahan, Felix X. Yu low, Peter Richtárik, Ananda Theertha Suresh low, Dave Bacon
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Citation edge evidence
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Advances and Open Problems in Federated Learning→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Federated Learning: Challenges, Methods, and Future Directions→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Federated Learning With Differential Privacy: Algorithms and Performance Analysis→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Federated Learning with Non-IID Data→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A…→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Deep Leakage from Gradients→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- A review of applications in federated learning→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Federated Learning for Healthcare Informatics→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Secure, privacy-preserving and federated machine learning in medical imaging→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- A survey on security and privacy of federated learning→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Federated Learning: Strategies for Improving Communication Efficiency→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Federated Learning with Non-IID DataLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Federated Learning with Non-IID DataLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Adaptive Federated Learning in Resource Constrained Edge Computing SystemsLegacy edge — source detail unavailable
- Federated Learning With Differential Privacy: Algorithms and Performance Analysis→Adaptive Federated Learning in Resource Constrained Edge Computing SystemsLegacy edge — source detail unavailable
- A review of applications in federated learning→Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A…Legacy edge — source detail unavailable
- A review of applications in federated learning→Adaptive Federated Learning in Resource Constrained Edge Computing SystemsLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Adaptive Federated Learning in Resource Constrained Edge Computing SystemsLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Federated Learning: Challenges, Methods, and Future DirectionsLegacy edge — source detail unavailable
- A survey on security and privacy of federated learning→Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A…Legacy edge — source detail unavailable
- A survey on security and privacy of federated learning→Federated Learning in Mobile Edge Networks: A Comprehensive SurveyLegacy edge — source detail unavailable
- A survey on security and privacy of federated learning→Federated Learning With Differential Privacy: Algorithms and Performance AnalysisLegacy edge — source detail unavailable
- A survey on security and privacy of federated learning→Federated Learning: Challenges, Methods, and Future DirectionsLegacy edge — source detail unavailable
- Federated Learning for Healthcare Informatics→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- Federated Learning for Healthcare Informatics→Federated Learning with Non-IID DataLegacy edge — source detail unavailable
- Federated Learning for Healthcare Informatics→Federated Learning in Mobile Edge Networks: A Comprehensive SurveyLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Federated Optimization: Distributed Machine Learning for On-Device Intelligence | 2016 | 1,657 |
What cites it, inside the corpus
Links
Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record
Topics
| Privacy-Preserving Technologies in Data | Computer Science |
| Stochastic Gradient Optimization Techniques | Computer Science |
| Domain Adaptation and Few-Shot Learning | Computer Science |
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