tensorflow / tensorflow/privacy
Create abstract DPAverageQuery
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- Dominant language
- Python
- Stars
- 2k
- Forks
- 477
- Avg merge
- 22h 12m
- Merged PRs (30d)
- 1
Description
Some algorithms like DP Federated Averaging need to support weighted DP means. The "weight" could be an argument to preprocess_record, but not all DPQueries need to support weighted records. An abstract subclass of DPQuery called DPAverageQuery could add that argument. As another advantage, algorithms that require an average could check the type of DPQuery to ensure that it is a subclass of DPAverageQuery.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the DPQuery class, its preprocess_record entry point, and the DP Federated Averaging implementation. Review existing DPQuery subclasses and determine how an abstract DPAverageQuery should expose weighted records. Done means average-based algorithms can identify that abstraction and weighted preprocessing is supported without requiring unrelated DPQueries to accept weights.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100