pith. sign in

Integrity report for AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2303.13567 · pith:2023:ERM4LRDIFWB33YU4DOUHOFQ2GG

0Critical
0Advisory
0Detectors run
Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/ERM4LRDIFWB33YU4DOUHOFQ2GG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.