Who Cited It

Federated Learning: Strategies for Improving Communication Efficiency

2016 · arXiv (Cornell University) · 3,050 citations · 15 from inside this corpus

Jakub Konečný, H. Brendan McMahan, Felix X. Yu low, Peter Richtárik, Ananda Theertha Suresh low, Dave Bacon

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: Strategies for Improving Communication Efficiency (2016)Federated Learning: Strategie…Federated Optimization: Distributed Machine Learning for On-Device Intelligence (2016)Federated Optimization: Distr…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Advances and Open Problems in Federated Learning (2020)Advances and Open Problems in…Federated Learning: Challenges, Methods, and Future Directions (2020)Federated Learning: Challenge…Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…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…Adaptive Federated Learning in Resource Constrained Edge Computing Systems (2019)Adaptive Federated Learning i…Federated Learning with Non-IID Data (2018)Federated Learning with Non-I…Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A… (2019)Comprehensive Privacy Analysi…A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ… (2020)A Joint Learning and Communic…Deep 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…Secure, privacy-preserving and federated machine learning in medical imaging (2020)Secure, privacy-preserving an…A survey on security and privacy of federated learning (2020)A survey on security and priv…
16 of 16 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
Federated Optimization: Distributed Machine Learning for On-Device Intelligence20161,657

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Advances and Open Problems in Federated Learning20205,383
Federated Learning: Challenges, Methods, and Future Directions20204,992
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer20193,698
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Federated Learning With Differential Privacy: Algorithms and Performance Analysis20202,357
Adaptive Federated Learning in Resource Constrained Edge Computing Systems20192,293
Federated Learning with Non-IID Data20181,918
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference A…20191,624
A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…20201,541
Deep Leakage from Gradients20201,532
A review of applications in federated learning20201,502
Federated Learning for Healthcare Informatics20201,497
Secure, privacy-preserving and federated machine learning in medical imaging20201,454
A survey on security and privacy of federated learning20201,393

Links

DOI · Open access copy · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Stochastic Gradient Optimization TechniquesComputer Science
Domain Adaptation and Few-Shot LearningComputer Science

Is this record sound?

complete

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

  • supports6 author record(s) attached.
  • supports15 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…