tensorflow / tensorflow/privacy
Paper or formula used in rdp_accountant.py
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Description
I am a little confused about how rdp_accountant.py works. Could you please provide the papers or formula you used in rdp_accountant.py especially about the method to compute rdp? That will be a great help. Thank you in advance!
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
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Research direction
Start by reading rdp_accountant.py and trace the method used to compute RDP. Add the relevant paper citations and explain the formulas used there; done when the RDP computation and its references are understandable to readers.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100