{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GLCJRXWZHNYB3P5NOZEXNO7LTB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"be999ac422c16042ecef71bd55b8bc91f316bfc47ff6fb5e066844e07dcbc4e7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-05-27T19:57:27Z","title_canon_sha256":"8684794db8630601cd822969861bab3ce30ad2bf94f6d301148975ac8a0cdff9"},"schema_version":"1.0","source":{"id":"2305.17564","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17564","created_at":"2026-07-05T06:16:19Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17564v2","created_at":"2026-07-05T06:16:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17564","created_at":"2026-07-05T06:16:19Z"},{"alias_kind":"pith_short_12","alias_value":"GLCJRXWZHNYB","created_at":"2026-07-05T06:16:19Z"},{"alias_kind":"pith_short_16","alias_value":"GLCJRXWZHNYB3P5N","created_at":"2026-07-05T06:16:19Z"},{"alias_kind":"pith_short_8","alias_value":"GLCJRXWZ","created_at":"2026-07-05T06:16:19Z"}],"graph_snapshots":[{"event_id":"sha256:0d5379477b21ae6c0bd7a21f53a708a28cad9473872295de77da19a69c910fe2","target":"graph","created_at":"2026-07-05T06:16:19Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2305.17564/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conformal prediction is emerging as a popular paradigm for providing rigorous uncertainty quantification in machine learning since it can be easily applied as a post-processing step to already trained models. In this paper, we extend conformal prediction to the federated learning setting. The main challenge we face is data heterogeneity across the clients - this violates the fundamental tenet of exchangeability required for conformal prediction. We propose a weaker notion of partial exchangeability, better suited to the FL setting, and use it to develop the Federated Conformal Prediction (FCP)","authors_text":"Charles Lu, Michael I. Jordan, Ramesh Raskar, Sai Praneeth Karimireddy, Yaodong Yu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-05-27T19:57:27Z","title":"Federated Conformal Predictors for Distributed Uncertainty Quantification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17564","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:89cd36891c4eb539479f9008d5989a68443f49f02cbdaa25d6a5f1356c286ca6","target":"record","created_at":"2026-07-05T06:16:19Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"be999ac422c16042ecef71bd55b8bc91f316bfc47ff6fb5e066844e07dcbc4e7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-05-27T19:57:27Z","title_canon_sha256":"8684794db8630601cd822969861bab3ce30ad2bf94f6d301148975ac8a0cdff9"},"schema_version":"1.0","source":{"id":"2305.17564","kind":"arxiv","version":2}},"canonical_sha256":"32c498ded93b701dbfad764976bbeb9867c31ea53d6f97f75ed7d4ef03d51e63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32c498ded93b701dbfad764976bbeb9867c31ea53d6f97f75ed7d4ef03d51e63","first_computed_at":"2026-07-05T06:16:19.111965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:16:19.111965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a1SlBhi8VFnpTYtKixCVDRm4HHkgDbKFGklDg6DvWiOOZfdrzQUrrt9ILmyI9OWty8xhzDdQWyHHpbKjFohHDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:16:19.112491Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.17564","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89cd36891c4eb539479f9008d5989a68443f49f02cbdaa25d6a5f1356c286ca6","sha256:0d5379477b21ae6c0bd7a21f53a708a28cad9473872295de77da19a69c910fe2"],"state_sha256":"5ecaf9c2d5a41b587915adb98625bdbe3f33eda149843c44a18fc2e7faae7b6d"}