A dataset describing federated learning configuration and privacy guarantees. The dataset is 9.5 KB in size and is stored in an XLS file format. It was authored by Oussama El Othmani and last updated on May 26, 2026.
Use Cases
- Analyze privacy guarantee trade-offs based on federated learning configuration parameters mentioned in the description
- Benchmark different federated learning setups based on configuration data
- Study the relationship between configuration choices and privacy outcomes
Strengths
- Dataset is openly licensed under CC-BY-4.0
- File size is 9.5 KB, indicating a concise and focused scope
Limitations
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
Provenance
- Source
- figshare
- Freshness
- Last updated 2026-05-26 17:32:01; freshness should be verified