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federated_he

imported

software/federated-he

Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with…

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

federated_he project image
GitHub preview card for tayebiarasteh/federated_he. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · differential-privacy · federated-learning · federated-learning-framework · homomorphic-encryption · image-classification · image-segmentation · medical-image-analysis · medical-imaging · mri-brain · mri-images · mri-segmentation · pysyft · pytorch · segmentation
Regulatory
unknown
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    Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)

  • MHA-UNetimage-classification · image-segmentation · medical-image-analysis

    [BIBM 2025] The official code for "Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification".

sources
  1. api.github.com/repos/tayebiarasteh/federated_he
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-12-07, 34 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/25.json→ .entries["federated-he"]

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