Who Cited It

Federated Optimization: Distributed Machine Learning for On-Device Intelligence

2016 · arXiv (Cornell University) · 1,657 citations · 8 from inside this corpus

Jakub Konečný, H. Brendan McMahan, Daniel Ramage, Peter Richtárik

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 Optimization: Distributed Machine Learning for On-Device Intelligence (2016)Federated Optimization: Distr…An overview of statistical learning theory (1999)An overview of statistical le…Deep Learning with Differential Privacy (2016)Deep Learning with Differenti…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Federated Machine Learning (2019)Federated Machine LearningFederated Learning: Strategies for Improving Communication Efficiency (2016)Federated Learning: Strategie…Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Adaptive Federated Learning in Resource Constrained Edge Computing Systems (2019)Adaptive Federated Learning i…A survey on federated learning (2021)A survey on federated learningA Joint Learning and Communications Framework for Federated Learning Over Wireless Networ… (2020)A Joint Learning and Communic…Federated Learning for Healthcare Informatics (2020)Federated Learning for Health…
10 of 10 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

What this paper cites, inside the corpus

PaperYearCited
An overview of statistical learning theory19996,311
Deep Learning with Differential Privacy20166,220

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Federated Machine Learning20196,228
Federated Learning: Strategies for Improving Communication Efficiency20163,050
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Adaptive Federated Learning in Resource Constrained Edge Computing Systems20192,293
A survey on federated learning20211,847
A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…20201,541
Federated Learning for Healthcare Informatics20201,497

Links

DOI · Open access copy · OpenAlex record

Topics

Stochastic Gradient Optimization TechniquesComputer Science
Privacy-Preserving Technologies in DataComputer Science
Cryptography and Data SecurityComputer Science

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports68 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 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…