Codes and animal_2 dataset used in MCCP experiments
<h3>Code:</h3> <p>Mode_code.zip is the packaged code, for a description of the code see README.md.</p> <p>The same code was uploaded by us at <a href="https://github.com/Simba-brother/MCCP" target="_blank" rel="noopener">https://github.com/Simba-brother/MCCP</a></p> <h3><strong>Dataset</strong></h3> <p><strong>./merged_data</strong>: Mixing of party A and party B on the training and test sets.</p> <p><strong>./merged_model:</strong> Model structure of MCC.</p> <p><strong>./OriginModel:</strong> Assessment results of the teacher model.</p> <p><strong>./party_A: </strong>Party A's dataset and model.</p> <p><strong>./party_B: </strong>Party B's dataset and model.</p> <p><strong>./MCCP: </strong>MCCP method training weights and a:ssessment results.</p> <p><strong>./CFL: </strong>CFL method training weights and assessment results.</p> <p><strong>./HMR:</strong> HMR method training weights and assessment results.</p> <p><strong>./Dummy:</strong> Dummy method assessment results.</p> <p><strong>./DecisionTree:</strong> Decision method training weights and assessment results.</p> <p><strong>./LogisticRegression: </strong>LogisticRegression method training weights and assessment results.</p> <h3>Download addresses of other Datasets and Models</h3> <div> <div>Since the data set and model are large and the platform has limitations, we upload the remaining data sets and models to the link below. If necessary, you can download them through the link below.</div> </div> <p><a href="https://pan.quark.cn/s/09b446b8f944" target="_blank" rel="noopener">https://pan.quark.cn/s/09b446b8f944</a></p> <p> </p> <p> </p> <p> </p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 8
- Engagement
- 0