{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:Z5SLZSPIKDHBGXA7RLZLGRSSCD","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":"05fa34b3c538db15014eedd1df9b21fae0db1415068270da484cdcce5e89b7ba","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-25T06:53:11Z","title_canon_sha256":"378d108ed3efcc8a11a03e3a4828ded102d46a10b28c8baa4812d30ea7080961"},"schema_version":"1.0","source":{"id":"1901.08755","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.08755","created_at":"2026-07-05T02:29:51Z"},{"alias_kind":"arxiv_version","alias_value":"1901.08755v3","created_at":"2026-07-05T02:29:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.08755","created_at":"2026-07-05T02:29:51Z"},{"alias_kind":"pith_short_12","alias_value":"Z5SLZSPIKDHB","created_at":"2026-07-05T02:29:51Z"},{"alias_kind":"pith_short_16","alias_value":"Z5SLZSPIKDHBGXA7","created_at":"2026-07-05T02:29:51Z"},{"alias_kind":"pith_short_8","alias_value":"Z5SLZSPI","created_at":"2026-07-05T02:29:51Z"}],"graph_snapshots":[{"event_id":"sha256:c31f355fa57e98aefbd8e885df77fba0b6c8b9652d7fceb3fa5ef7c8d2e42ba0","target":"graph","created_at":"2026-07-05T02:29:51Z","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/1901.08755/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The protection of user privacy is an important concern in machine learning, as evidenced by the rolling out of the General Data Protection Regulation (GDPR) in the European Union (EU) in May 2018. The GDPR is designed to give users more control over their personal data, which motivates us to explore machine learning frameworks for data sharing that do not violate user privacy. To meet this goal, in this paper, we propose a novel lossless privacy-preserving tree-boosting system known as SecureBoost in the setting of federated learning. SecureBoost first conducts entity alignment under a privacy","authors_text":"Dimitrios Papadopoulos, Kewei Cheng, Qiang Yang, Tao Fan, Tianjian Chen, Yang Liu, Yilun Jin","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-25T06:53:11Z","title":"SecureBoost: A Lossless Federated Learning Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.08755","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":"sha256:012907bf500edbb227ac27dc64048b4343374d7e877d00fea23310e871483f7b","target":"record","created_at":"2026-07-05T02:29:51Z","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":"05fa34b3c538db15014eedd1df9b21fae0db1415068270da484cdcce5e89b7ba","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-25T06:53:11Z","title_canon_sha256":"378d108ed3efcc8a11a03e3a4828ded102d46a10b28c8baa4812d30ea7080961"},"schema_version":"1.0","source":{"id":"1901.08755","kind":"arxiv","version":3}},"canonical_sha256":"cf64bcc9e850ce135c1f8af2b3465210cee1d359e6f76e1a57a0344bede6bca4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf64bcc9e850ce135c1f8af2b3465210cee1d359e6f76e1a57a0344bede6bca4","first_computed_at":"2026-07-05T02:29:51.841907Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:29:51.841907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"06Nw4e7L9sZQECD9bZK2DiESYNLaqGnZr4YlhzTWVs+jmvzXkrJ45MPbJDcmpNnCxRwZuIUeyydfkAvnuSDIAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:29:51.842410Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.08755","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:012907bf500edbb227ac27dc64048b4343374d7e877d00fea23310e871483f7b","sha256:c31f355fa57e98aefbd8e885df77fba0b6c8b9652d7fceb3fa5ef7c8d2e42ba0"],"state_sha256":"d0846936134727f0be49b56c3400669325ae66e75a90773bac9fe9662373fd8a"}