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AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

lib:d2442eaa403a3dea (v1.1.1)

Authors: Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sebastien Rouault
Where published: MLSys'19
Document:  PDF 
Artifact available:
Artifact evaluated - reusable:
Artifact in the open CK format: Link to the development version
Artifact DOI: Link
Artifact development version: GitHub
Unified artifact appendix and reproducibility checklist: Link
Portable workflows:
Some results reproduced:
Reproduced results: https://github.com/ctuning/reproduce-sysml19-paper-aggregathor/issues
Standard reproducibility and reusability badges:
  • Artifact available
  • Artifact reusable
  • Portable workflow framework used
Methodology to reproduce results: Link

Relevant initiatives  

Reproduced results (crowd-benchmarking and competitions) Artifact and reproducibility checklists Common formats for research projects and shared artifacts Reproducibility initiatives


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