Who Cited It

Federated Learning: Challenges, Methods, and Future Directions

2020 · IEEE Signal Processing Magazine · 4,992 citations · 3 from inside this corpus

No author records on this work.

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: Challenges, Methods, and Future Directions (2020)Federated Learning: Challenge…Calibrating Noise to Sensitivity in Private Data Analysis (2006)Calibrating Noise to Sensitiv…Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017)Practical Secure Aggregation …Federated Learning: Strategies for Improving Communication Efficiency (2016)Federated Learning: Strategie…Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge (2019)Client Selection for Federate…The future of digital health with federated learning (2020)The future of digital health …A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ… (2020)A Joint Learning and Communic…A survey on security and privacy of federated learning (2020)A survey on security and priv…
7 of 7 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
Calibrating Noise to Sensitivity in Private Data Analysis20067,210
Practical Secure Aggregation for Privacy-Preserving Machine Learning20173,744
Federated Learning: Strategies for Improving Communication Efficiency20163,050
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge20191,528

What cites it, inside the corpus

PaperYearCited
The future of digital health with federated learning20202,933
A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…20201,541
A survey on security and privacy of federated learning20201,393

Links

DOI · Open access copy · OpenAlex record

Topics

Privacy-Preserving Technologies in DataComputer Science
Big Data and Digital EconomyComputer Science
Human Mobility and Location-Based AnalysisSocial Sciences

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports53 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…