{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:NZWOL74YGIT6UPH3LYMVLPKQ7Q","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":"d54a3ab5910f1f244517b5fac524fc6b3f5d629bff13ac696fd88e71c5934238","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-14T06:43:25Z","title_canon_sha256":"57e181eb9778d965b8659ba3ba83a239429cb980b69a3204009c17f4f7e66772"},"schema_version":"1.0","source":{"id":"2007.06849","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.06849","created_at":"2026-07-05T01:18:23Z"},{"alias_kind":"arxiv_version","alias_value":"2007.06849v1","created_at":"2026-07-05T01:18:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.06849","created_at":"2026-07-05T01:18:23Z"},{"alias_kind":"pith_short_12","alias_value":"NZWOL74YGIT6","created_at":"2026-07-05T01:18:23Z"},{"alias_kind":"pith_short_16","alias_value":"NZWOL74YGIT6UPH3","created_at":"2026-07-05T01:18:23Z"},{"alias_kind":"pith_short_8","alias_value":"NZWOL74Y","created_at":"2026-07-05T01:18:23Z"}],"graph_snapshots":[{"event_id":"sha256:a386c6968ab4d521c8fb96ba142d3c9b69067f7fa2127d0bfb3bf21635d719a1","target":"graph","created_at":"2026-07-05T01:18:23Z","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/2007.06849/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The financial sector presents many opportunities to apply various machine learning techniques. Centralized machine learning creates a constraint which limits further applications in finance sectors. Data privacy is a fundamental challenge for a variety of finance and insurance applications that account on learning a model across different sections. In this paper, we define a new practical scheme of collaborative machine learning that one party owns data, but another party owns labels only, and term this \\textbf{Asymmetrically Collaborative Machine Learning}. For this scheme, we propose a novel","authors_text":"Hao Zhu, Yifei Zhang","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-14T06:43:25Z","title":"Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.06849","kind":"arxiv","version":1},"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":"sha256:4df3b498a45faf110875cd0eed4c51a16ec045259c73f8273ee81bd50aa36dd9","target":"record","created_at":"2026-07-05T01:18:23Z","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":"d54a3ab5910f1f244517b5fac524fc6b3f5d629bff13ac696fd88e71c5934238","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-14T06:43:25Z","title_canon_sha256":"57e181eb9778d965b8659ba3ba83a239429cb980b69a3204009c17f4f7e66772"},"schema_version":"1.0","source":{"id":"2007.06849","kind":"arxiv","version":1}},"canonical_sha256":"6e6ce5ff983227ea3cfb5e1955bd50fc37c5859663fada12dd457b805fad583c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e6ce5ff983227ea3cfb5e1955bd50fc37c5859663fada12dd457b805fad583c","first_computed_at":"2026-07-05T01:18:23.883799Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:18:23.883799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iBQJ7wxqyOs+Nfmk3EWYJHIN3vVxIhMraP/tFi6JqtCqeNKGSOYtsyyYJ9bHD6HneX0FGbb4X698GkG0ozWaCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:18:23.884256Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.06849","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4df3b498a45faf110875cd0eed4c51a16ec045259c73f8273ee81bd50aa36dd9","sha256:a386c6968ab4d521c8fb96ba142d3c9b69067f7fa2127d0bfb3bf21635d719a1"],"state_sha256":"45dd441d0b335a628aa4f2b9597e16ffa2ac0eca6cfbf3ba72ac4a68bf071c2d"}