<p>Hyperparameter settings for all compared methods.</p>

A figshare dataset by Jie Guo, last updated in May 2026. It contains hyperparameter settings for compared methods in a federated learning study. The dataset is small at 5.5 KB and is provided in an XLS format.

Use Cases

• Benchmarking federated learning algorithms based on the described hyperparameter configurations.
• Reproducing experiments on adaptive channel pruning and multi-key homomorphic encryption mentioned in the associated paper.
• Analyzing the trade-off between model compression and accuracy in federated learning based on the described dynamic threshold mechanism.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Associated research paper provides context for the hyperparameter settings.
• File size of 5.5 KB indicates a concise, focused collection of parameters.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scope is limited to the specific methods compared in the associated paper.

Provenance

Source

Jie Guo via figshare.

Collection Method

Likely compiled for the experiments described in the associated research paper.

Freshness

Last updated 2026-05-18 17:41:58; freshness should be verified.