alibaba / alibaba/FederatedScope
Landmark dataset
Open
enhancement
- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 261
- PR merge metrics
- No merged PRs in 30d
Description
Google's landmark datasets (e.g., GLD-23k, GLD-160k) are widely used in evaluating federated optimization algos, and TFF has integrated the datasets (see https://www.tensorflow.org/federated/api_docs/python/tff/simulation/datasets/gldv2/load_data). I am wondering is it possible to use them in FederatedScope.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the linked TFF gldv2/load_data API and inspect FederatedScope's dataset integration points. Determine which GLD datasets and loading behavior should be supported, then define completion criteria and validation before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100