Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

• Federated Learning for Healthcare Informatics→Federated Learning in Mobile Edge Networks: A Comprehensive SurveyLegacy edge — source detail unavailable
• Federated Learning for Internet of Things: A Comprehensive Survey→Federated Learning in Mobile Edge Networks: A Comprehensive SurveyLegacy 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
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Long Short-Term MemoryLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→A Survey on Transfer LearningLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→A Tutorial on Support Vector Machines for Pattern RecognitionLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Federated Machine LearningLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Communication-Efficient Learning of Deep Networks from Decentralized\n DataLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Recurrent neural network based language modelLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Communication-Efficient Learning of Deep Networks from Decentralized DataLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Membership Inference Attacks Against Machine Learning ModelsLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep Reinforcement Learning: A Brief SurveyLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Semi-Supervised Learning Literature SurveyLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep Reinforcement Learning with Double Q-LearningLegacy 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 in Mobile Edge Networks: A Comprehensive Survey→Model Inversion Attacks that Exploit Confidence Information and Basic CountermeasuresLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Efficient Multi-User Computation Offloading for Mobile-Edge Cloud ComputingLegacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Privacy-Preserving Deep LearningLegacy 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 in Mobile Edge Networks: A Comprehensive Survey→Transfer Feature Learning with Joint Distribution AdaptationLegacy 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→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy 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→Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…Legacy edge — source detail unavailable
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Auto-association by multilayer perceptrons and singular value decompositionLegacy edge — source detail unavailable
• Privacy-Preserving Deep Learning→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Long Short-Term MemoryLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→A Survey on Transfer LearningLegacy edge — source detail unavailable
• Transfer Feature Learning with Joint Distribution Adaptation→A Survey on Transfer LearningLegacy edge — source detail unavailable
• Learning Transferable Features with Deep Adaptation Networks→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
• Learning Transferable Features with Deep Adaptation Networks→A Survey on Transfer LearningLegacy edge — source detail unavailable
• A Survey on Transfer Learning→Semi-Supervised Learning Literature SurveyLegacy edge — source detail unavailable
• Deep Learning with Differential Privacy→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
• Deep Learning with Differential Privacy→Model Inversion Attacks that Exploit Confidence Information and Basic CountermeasuresLegacy edge — source detail unavailable
• Deep Learning with Differential Privacy→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Federated Optimization: Distributed Machine Learning for On-Device Intelligence→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
• Membership Inference Attacks Against Machine Learning Models→Calibrating Noise to Sensitivity in Private Data AnalysisLegacy edge — source detail unavailable
• Membership Inference Attacks Against Machine Learning Models→Model Inversion Attacks that Exploit Confidence Information and Basic CountermeasuresLegacy edge — source detail unavailable
• Membership Inference Attacks Against Machine Learning Models→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Membership Inference Attacks Against Machine Learning Models→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Membership Inference Attacks Against Machine Learning Models→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
• Federated Learning: Strategies for Improving Communication Efficiency→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Model Inversion Attacks that Exploit Confidence Information and Basic CountermeasuresLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Membership Inference Attacks Against Machine Learning ModelsLegacy edge — source detail unavailable
• Practical Secure Aggregation for Privacy-Preserving Machine Learning→Communication-Efficient Learning of Deep Networks from Decentralized DataLegacy edge — source detail unavailable
• Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
• Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
• Federated Learning with Non-IID Data→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
• Federated Learning with Non-IID Data→Communication-Efficient Learning of Deep Networks from Decentralized DataLegacy edge — source detail unavailable
• Federated Learning with Non-IID Data→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
• Federated Machine Learning→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Federated Machine Learning→A Survey on Transfer LearningLegacy edge — source detail unavailable
• Federated Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
• Federated Machine Learning→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
• Federated Machine Learning→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
• Federated Machine Learning→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
• Federated Machine Learning→Federated Learning with Non-IID DataLegacy 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: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
• Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Federated Learning with Non-IID DataLegacy edge — source detail unavailable
• Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Communication-Efficient Learning of Deep Networks from Decentralized\n DataLegacy edge — source detail unavailable
• A survey on security and privacy of federated learning→A Survey on Transfer LearningLegacy edge — source detail unavailable
• A survey on security and privacy of federated learning→Membership Inference Attacks Against Machine Learning ModelsLegacy edge — source detail unavailable
• A survey on security and privacy of federated learning→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
• A survey on security and privacy of federated learning→Communication-Efficient Learning of Deep Networks from Decentralized DataLegacy edge — source detail unavailable
• A survey on security and privacy of federated learning→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
• Federated Learning for Healthcare Informatics→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Federated Learning for Healthcare Informatics→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
• Federated Learning for Healthcare Informatics→Deep Learning with Differential PrivacyLegacy 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: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
• Federated Learning for Healthcare Informatics→Communication-Efficient Learning of Deep Networks from Decentralized DataLegacy edge — source detail unavailable
• Federated Learning for Healthcare Informatics→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
• Federated Learning for Healthcare Informatics→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy 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 Machine LearningLegacy edge — source detail unavailable
• Deep Reinforcement Learning: A Brief Survey→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
• Deep Reinforcement Learning: A Brief Survey→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
• Federated Learning for Internet of Things: A Comprehensive Survey→Federated Machine LearningLegacy edge — source detail unavailable