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HewlettPackard / swarm-learning

A simplified library for decentralized, privacy preserving machine learning

Why this job: works in the areas we cover, but does not say which job it does

What it does

Swarm Learning nodes works in collaboration with other Swarm Learning nodes in the network. It regularly shares its learnings with the other nodes and incorporates their insights. This process continues until the Swarm Learning nodes train the model to desired state. User can monitor the progress of the current training as shown in the below image. It shows all running Swarm nodes, loss, model metric (for example, accuracy) and overall training progress for each User ML node. On hovering over the "progress bar", one can see the number of completed epochs and the total number of epochs.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 3 months ago
Stars
354
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v2.3.0
Released 10 months ago
Built with
Python
61% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
92% closed
10 still open
Pull requests
85 merged
2 waiting
Releases
10
1 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 61%
  • Shell 33%
  • Perl 6%

Topics

  • machine-learning
  • distributed-computing
  • distributed-control
  • distributed-ledger
  • privacy-enhancing-technologies
  • privacy-by-design
  • deep-learning

Project record

  • JobOther AI tools
  • StatusListed
  • Commits1,277
  • Forks113
  • Watching18
  • Stars in 28 days0
  • CreatedJun 8, 2021
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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