Who Cited It

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

2020 · IEEE Communications Surveys & Tutorials · 2,538 citations · 3 from inside this corpus

Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying‐Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Long Short-Term Memory (1997)Long Short-Term MemoryDropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…A Survey on Transfer Learning (2009)A Survey on Transfer LearningDeep learning in neural networks: An overview (2014)Deep learning in neural netwo…A Tutorial on Support Vector Machines for Pattern Recognition (1998)A Tutorial on Support Vector …Calibrating Noise to Sensitivity in Private Data Analysis (2006)Calibrating Noise to Sensitiv…Deep Reinforcement Learning with Double Q-Learning (2016)Deep Reinforcement Learning w…Federated Machine Learning (2019)Federated Machine LearningDeep Learning with Differential Privacy (2016)Deep Learning with Differenti…Communication-Efficient Learning of Deep Networks from Decentralized\n Data (2016)Communication-Efficient Learn…Recurrent neural network based language model (2010)Recurrent neural network base…Communication-Efficient Learning of Deep Networks from Decentralized Data (2016)Communication-Efficient Learn…Playing Atari with Deep Reinforcement Learning (2013)Playing Atari with Deep Reinf…Membership Inference Attacks Against Machine Learning Models (2017)Membership Inference Attacks …Deep Reinforcement Learning: A Brief Survey (2017)Deep Reinforcement Learning: …Semi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017)Practical Secure Aggregation …Deep Reinforcement Learning with Double Q-Learning (2016)Deep Reinforcement Learning w…Federated Learning: Strategies for Improving Communication Efficiency (2016)Federated Learning: Strategie…Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (2015)Model Inversion Attacks that …Learning Transferable Features with Deep Adaptation Networks (2015)Learning Transferable Feature…Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing (2015)Efficient Multi-User Computat…Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…Adaptive Federated Learning in Resource Constrained Edge Computing Systems (2019)Adaptive Federated Learning i…Transfer Feature Learning with Joint Distribution Adaptation (2013)Transfer Feature Learning wit…Federated Learning with Non-IID Data (2018)Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (2017)Privacy-Preserving Deep Learn…Federated Optimization: Distributed Machine Learning for On-Device Intelligence (2016)Federated Optimization: Distr…Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria… (2016)Transferability in Machine Le…Auto-association by multilayer perceptrons and singular value decomposition (1988)Auto-association by multilaye…Federated Learning for Healthcare Informatics (2020)Federated Learning for Health…Federated Learning for Internet of Things: A Comprehensive Survey (2021)A survey on security and privacy of federated learning (2020)A survey on security and priv…
33 of 33 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Dropout: a simple way to prevent neural networks from overfitting201434,236
A Survey on Transfer Learning200923,670
Deep learning in neural networks: An overview201418,236
A Tutorial on Support Vector Machines for Pattern Recognition199816,488
Calibrating Noise to Sensitivity in Private Data Analysis20067,210
Deep Reinforcement Learning with Double Q-Learning20166,271
Federated Machine Learning20196,228
Deep Learning with Differential Privacy20166,220
Communication-Efficient Learning of Deep Networks from Decentralized\n Data20165,645
Recurrent neural network based language model20105,432
Communication-Efficient Learning of Deep Networks from Decentralized Data20165,190
Playing Atari with Deep Reinforcement Learning20135,104
Membership Inference Attacks Against Machine Learning Models20174,490
Deep Reinforcement Learning: A Brief Survey20174,434
Semi-Supervised Learning Literature Survey20053,879
Practical Secure Aggregation for Privacy-Preserving Machine Learning20173,744
Deep Reinforcement Learning with Double Q-Learning20163,516
Federated Learning: Strategies for Improving Communication Efficiency20163,050
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures20152,885
Learning Transferable Features with Deep Adaptation Networks20152,839
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing20152,702
Privacy-Preserving Deep Learning20152,325
Adaptive Federated Learning in Resource Constrained Edge Computing Systems20192,293
Transfer Feature Learning with Joint Distribution Adaptation20132,033
Federated Learning with Non-IID Data20181,918
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption20171,665
Federated Optimization: Distributed Machine Learning for On-Device Intelligence20161,657
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…20161,416
Auto-association by multilayer perceptrons and singular value decomposition19881,369

What cites it, inside the corpus

PaperYearCited
Federated Learning for Healthcare Informatics20201,497
Federated Learning for Internet of Things: A Comprehensive Survey20211,465
A survey on security and privacy of federated learning20201,393

Links

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Topics

Privacy-Preserving Technologies in DataComputer Science
Wireless Communication Security TechniquesEngineering
Internet Traffic Analysis and Secure E-votingComputer Science

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complete

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  • supports8 author record(s) attached.
  • supports241 reference(s) recorded.
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  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…