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FLamby

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data/flamby

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
owkin
Country
unknown
Homepage
owkin.github.io/FLamby/
Repository
github.com/owkin/FLamby
Documentation
unknown
Tags
dataset · deep-learning · differential-privacy · federated-learning · healthcare · machine-learning · python
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • DP_CXRdifferential-privacy

    Building an AI model for chest X-ray under patient privacy guarantees

  • v6-summary-omop-pyfederated-learning

    Federated summary algorithm for a RDB following the OMOP CDM and using Vantage6

  • ePillID-benchmarkdataset · healthcare

    ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

  • MMPD_rPPG_datasetdataset · healthcare

    MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)

  • MultiCaRe_Datasetdataset · healthcare

    Open-source multimodal dataset: 98K+ clinical cases & 139K+ medical images from PubMed Central

  • ReportQLdataset · healthcare

    Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

sources
  1. api.github.com/repos/owkin/FLamby
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-07, 241 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/52.json→ .entries["flamby"]

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