Who Cited It

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.

Federated Machine Learning (2019)Federated Machine LearningA Survey on Transfer Learning (2009)A Survey on Transfer LearningMastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Advances in Neural Information Processing Systems 19 (2007)Advances in Neural Informatio…k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY (2002)k-ANONYMITY: A MODEL FOR PROT…Deep Learning with Differential Privacy (2016)Deep Learning with Differenti…Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017)Practical Secure Aggregation …Differential Privacy: A Survey of Results (2008)Differential Privacy: A Surve…Privacy-preserving data mining (2000)Privacy-preserving data miningProtocols for secure computations (1982)Protocols for secure computat…Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…Proceedings of the 13th International Conference on Neural Information Processing Systems (2000)Proceedings of the 13th Inter…Federated Learning with Non-IID Data (2018)Federated Learning with Non-I…SecureML: A System for Scalable Privacy-Preserving Machine Learning (2017)SecureML: A System for Scalab…Privacy-preserving data mining (2000)Privacy-preserving data miningPrivacy-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…Advances and Open Problems in Federated Learning (2020)Advances and Open Problems in…Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Federated Learning With Differential Privacy: Algorithms and Performance Analysis (2020)Federated Learning With Diffe…A survey on federated learning (2021)A survey on federated learningDeep Leakage from Gradients (2020)Deep Leakage from GradientsA review of applications in federated learning (2020)A review of applications in f…Federated Learning for Healthcare Informatics (2020)Federated Learning for Health…Model-Contrastive Federated Learning (2021)Model-Contrastive Federated L…Federated Learning for Internet of Things: A Comprehensive Survey (2021)Federated Learning for Intern…
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.
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What this paper cites, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
Mastering the game of Go with deep neural networks and tree search201616,014
Advances in Neural Information Processing Systems 19200715,653
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY20028,585
Deep Learning with Differential Privacy20166,220
Practical Secure Aggregation for Privacy-Preserving Machine Learning20173,744
Differential Privacy: A Survey of Results20083,392
Privacy-preserving data mining20002,997
Protocols for secure computations19822,727
Privacy-Preserving Deep Learning20152,325
Proceedings of the 13th International Conference on Neural Information Processing Systems20002,160
Federated Learning with Non-IID Data20181,918
SecureML: A System for Scalable Privacy-Preserving Machine Learning20171,899
Privacy-preserving data mining20001,709
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption20171,665
Federated Optimization: Distributed Machine Learning for On-Device Intelligence20161,657

What cites it, inside the corpus

PaperYearCited
Advances and Open Problems in Federated Learning20205,383
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Federated Learning With Differential Privacy: Algorithms and Performance Analysis20202,357
A survey on federated learning20211,847
Deep Leakage from Gradients20201,532
A review of applications in federated learning20201,502
Federated Learning for Healthcare Informatics20201,497
Model-Contrastive Federated Learning20211,485
Federated Learning for Internet of Things: A Comprehensive Survey20211,465

Links

DOI · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Cryptography and Data SecurityComputer Science
Internet Traffic Analysis and Secure E-votingComputer 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.

sha256 5cad55ac5d4d41e1…