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How do I find a potential PhD supervisor who works in my area? (67)

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National Institute of Technology Karnataka · Posted
Urban Planning Nanotechnology Education Technology

Context

I want to start using federated learning for my research on privacy-preserving healthcare analytics. The datasets involve patient records from three hospitals and we cannot share data across sites.

What I am looking for:

  • Python frameworks that are actively maintained and used in research
  • Any frameworks with good support for heterogeneous data distributions (non-IID)
  • Something that has a reasonably gentle learning curve for a researcher (not a systems engineer)

I have looked at PySyft and Flower. Any experience with either, or other alternatives I should consider?

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2 Replies

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Gopal Naidu · Accepted answer

This is a known issue with XLM-R on code-mixed data. The MuRIL preprint has a section specifically comparing these.

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Rajesh Kumar · Accepted answer

I have a slightly different take from my experience in industry research. The reproducibility crisis is real but unevenly distributed. Fields with strong engineering culture (computational biology, ML with benchmarks) have actually improved significantly in the last 5 years. The bigger problem is in fields where data sharing is structurally difficult.clinical medicine, behavioral economics.

The ML community's move toward open code and reproducibility checklists has been genuinely effective.