Federated Learning Configuration and Privacy Guarantees

A small dataset detailing federated learning configuration and privacy guarantees. The 9.5 KB Excel file was authored by Oussama El Othmani and last updated on May 26, 2026.

Use Cases

• Compare privacy guarantee metrics across different federated learning configurations.
• Analyze the relationship between configuration parameters and stated privacy levels.
• Benchmark federated learning setups based on their documented privacy assurances.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is precisely 9.5 KB, indicating a concise 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

Oussama El Othmani via figshare.

Freshness

Last updated 2026-05-26 17:32:01; freshness should be verified.