{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XQSLQ33MW2CH2ET6JCKDKIYFX4","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":"415697f9ddd2ed133fc5d91ebcab71384b64140910f520280f480c72ff4eb574","cross_cats_sorted":["math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-16T06:51:32Z","title_canon_sha256":"ac27e1c27bcdd36acbde9f21aaff0fdb4d1821c191b984bafdae7b76766941a4"},"schema_version":"1.0","source":{"id":"2310.10117","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10117","created_at":"2026-07-05T08:14:01Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10117v3","created_at":"2026-07-05T08:14:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10117","created_at":"2026-07-05T08:14:01Z"},{"alias_kind":"pith_short_12","alias_value":"XQSLQ33MW2CH","created_at":"2026-07-05T08:14:01Z"},{"alias_kind":"pith_short_16","alias_value":"XQSLQ33MW2CH2ET6","created_at":"2026-07-05T08:14:01Z"},{"alias_kind":"pith_short_8","alias_value":"XQSLQ33M","created_at":"2026-07-05T08:14:01Z"}],"graph_snapshots":[{"event_id":"sha256:ca4d96c5b9aea6563bc89cacd41dbdc7b7a2822d57353ad3c613ccde83445270","target":"graph","created_at":"2026-07-05T08:14:01Z","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/2310.10117/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In practice, many machine learning (ML) problems come with constraints, and their applied domains involve distributed sensitive data that cannot be shared with others, e.g., in healthcare. Collaborative learning in such practical scenarios entails federated learning (FL) for ML problems with constraints, or FL with constraints for short. Despite the extensive developments of FL techniques in recent years, these techniques only deal with unconstrained FL problems or FL problems with simple constraints that are amenable to easy projections. There is little work dealing with FL problems with gene","authors_text":"Chuan He, Ju Sun, Le Peng","cross_cats":["math.OC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-16T06:51:32Z","title":"Federated Learning with Convex Global and Local Constraints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10117","kind":"arxiv","version":3},"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":"sha256:81268a61350880eab2f4747d453040cb106105b446534165719c30b51957d706","target":"record","created_at":"2026-07-05T08:14:01Z","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":"415697f9ddd2ed133fc5d91ebcab71384b64140910f520280f480c72ff4eb574","cross_cats_sorted":["math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-16T06:51:32Z","title_canon_sha256":"ac27e1c27bcdd36acbde9f21aaff0fdb4d1821c191b984bafdae7b76766941a4"},"schema_version":"1.0","source":{"id":"2310.10117","kind":"arxiv","version":3}},"canonical_sha256":"bc24b86f6cb6847d127e4894352305bf293249edd0dd2304409727dcfcb90f10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc24b86f6cb6847d127e4894352305bf293249edd0dd2304409727dcfcb90f10","first_computed_at":"2026-07-05T08:14:01.690455Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:14:01.690455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EOK2/DndOzyAo0stLRM9PTEYR0Bqey2MQZcEz1qM9CSUHnhI0gB4uQeOGz89FOc7NnWQ1B1fkVPMrmMlPFnpDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:14:01.691001Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10117","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81268a61350880eab2f4747d453040cb106105b446534165719c30b51957d706","sha256:ca4d96c5b9aea6563bc89cacd41dbdc7b7a2822d57353ad3c613ccde83445270"],"state_sha256":"c512eb3e03711f8495c34b46ff4fea24a5a69156bc43dd659354caaf14c99179"}