Federated Machine Learning

Qiang Yang; Yang Liu; Tianjian Chen; Yongxin Tong

doi:https://doi.org/10.1145/3298981

Federated Machine Learning

2019 · ACM Transactions on Intelligent Systems and Technology · 6,228 citations · 9 from inside this corpus

Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong

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.

25 of 25 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.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

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

Advances and Open Problems in Federated Learning→Federated Machine LearningLegacy edge — source detail unavailable
Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Federated Machine LearningLegacy edge — source detail unavailable
Federated Learning With Differential Privacy: Algorithms and Performance Analysis→Federated Machine LearningLegacy edge — source detail unavailable
A survey on federated learning→Federated Machine LearningLegacy edge — source detail unavailable
Deep Leakage from Gradients→Federated Machine LearningLegacy edge — source detail unavailable
A review of applications in federated learning→Federated Machine LearningLegacy edge — source detail unavailable
Federated Learning for Healthcare Informatics→Federated Machine LearningLegacy edge — source detail unavailable
Model-Contrastive Federated Learning→Federated Machine LearningLegacy edge — source detail unavailable
Federated Learning for Internet of Things: A Comprehensive Survey→Federated Machine LearningLegacy edge — source detail unavailable
Federated Machine Learning→A Survey on Transfer LearningLegacy edge — source detail unavailable
Federated Machine Learning→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
Federated Machine Learning→Advances in Neural Information Processing Systems 19Legacy edge — source detail unavailable
Federated Machine Learning→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
Federated Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
Federated Machine Learning→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
Federated Machine Learning→Differential Privacy: A Survey of ResultsLegacy edge — source detail unavailable
Federated Machine Learning→Privacy-preserving data miningLegacy edge — source detail unavailable
Federated Machine Learning→Protocols for secure computationsLegacy edge — source detail unavailable
Federated Machine Learning→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
Federated Machine Learning→Proceedings of the 13th International Conference on Neural Information Processing SystemsLegacy edge — source detail unavailable
Federated Machine Learning→Federated Learning with Non-IID DataLegacy edge — source detail unavailable
Federated Machine Learning→SecureML: A System for Scalable Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
Federated Machine Learning→Privacy-preserving data miningLegacy edge — source detail unavailable
Federated Machine Learning→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
Federated Machine Learning→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
Differential Privacy: A Survey of Results→Privacy-preserving data miningLegacy edge — source detail unavailable
Differential Privacy: A Survey of Results→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
Differential Privacy: A Survey of Results→Privacy-preserving data miningLegacy edge — source detail unavailable
Deep Learning with Differential Privacy→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
Deep Learning with Differential Privacy→Privacy-preserving data miningLegacy edge — source detail unavailable
Deep Learning with Differential Privacy→k-ANONYMITY: A MODEL FOR PROTECTING PRIVACYLegacy edge — source detail unavailable
Deep Learning with Differential Privacy→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
Deep Learning with Differential Privacy→Privacy-preserving data miningLegacy edge — source detail unavailable
Federated Optimization: Distributed Machine Learning for On-Device Intelligence→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
SecureML: A System for Scalable Privacy-Preserving Machine Learning→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
SecureML: A System for Scalable Privacy-Preserving Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
SecureML: A System for Scalable Privacy-Preserving Machine Learning→Privacy-preserving data miningLegacy 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
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→SecureML: A System for Scalable Privacy-Preserving Machine LearningLegacy 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→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
Deep Leakage from Gradients→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
Advances and Open Problems in Federated Learning→Protocols for secure computationsLegacy edge — source detail unavailable
Advances and Open Problems in Federated Learning→Differential Privacy: A Survey of ResultsLegacy edge — source detail unavailable
Advances and Open Problems in Federated Learning→Privacy-preserving data miningLegacy edge — source detail unavailable
Advances and Open Problems in Federated Learning→A Survey on Transfer LearningLegacy edge — source detail unavailable
Advances and Open Problems in Federated Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
Advances and Open Problems in Federated Learning→SecureML: A System for Scalable Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
Advances and Open Problems in Federated Learning→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy 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→A Survey on Transfer 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→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy 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→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy 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 With Differential Privacy: Algorithms and Performance Analysis→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
Federated Learning With Differential Privacy: Algorithms and Performance Analysis→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
Federated Learning for Healthcare Informatics→Privacy-Preserving Deep 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→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 Learning in Mobile Edge Networks: A Comprehensive SurveyLegacy edge — source detail unavailable
A survey on federated learning→Differential Privacy: A Survey of ResultsLegacy edge — source detail unavailable
A survey on federated learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
A survey on federated learning→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
A survey on federated learning→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
A survey on federated learning→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy 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

What this paper cites, inside the corpus

Paper	Year	Cited
A Survey on Transfer Learning	2009	23,670
Mastering the game of Go with deep neural networks and tree search	2016	16,014
Advances in Neural Information Processing Systems 19	2007	15,653
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY	2002	8,585
Deep Learning with Differential Privacy	2016	6,220
Practical Secure Aggregation for Privacy-Preserving Machine Learning	2017	3,744
Differential Privacy: A Survey of Results	2008	3,392
Privacy-preserving data mining	2000	2,997
Protocols for secure computations	1982	2,727
Privacy-Preserving Deep Learning	2015	2,325
Proceedings of the 13th International Conference on Neural Information Processing Systems	2000	2,160
Federated Learning with Non-IID Data	2018	1,918
SecureML: A System for Scalable Privacy-Preserving Machine Learning	2017	1,899
Privacy-preserving data mining	2000	1,709
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption	2017	1,665
Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	1,657

What cites it, inside the corpus

Paper	Year	Cited
Advances and Open Problems in Federated Learning	2020	5,383
Federated Learning in Mobile Edge Networks: A Comprehensive Survey	2020	2,538
Federated Learning With Differential Privacy: Algorithms and Performance Analysis	2020	2,357
A survey on federated learning	2021	1,847
Deep Leakage from Gradients	2020	1,532
A review of applications in federated learning	2020	1,502
Federated Learning for Healthcare Informatics	2020	1,497
Model-Contrastive Federated Learning	2021	1,485
Federated Learning for Internet of Things: A Comprehensive Survey	2021	1,465

Links

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Topics

Privacy-Preserving Technologies in Data	Computer Science
Cryptography and Data Security	Computer Science
Internet Traffic Analysis and Secure E-voting	Computer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports4 author record(s) attached.
supports85 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

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