{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:FBPE32VGQXEODKAXI6NXGKMQHU","short_pith_number":"pith:FBPE32VG","canonical_record":{"source":{"id":"1901.09888","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2019-01-29T14:18:38Z","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"title_canon_sha256":"dc8c16e3838ddef0729750e211361abf51efbe1b24e711ee24b2c1e9e2293b37","abstract_canon_sha256":"2cfdc4e39f3e693c2466a924e0a2ad834d1d0bf69c05593b392e6ee571420106"},"schema_version":"1.0"},"canonical_sha256":"285e4deaa685c8e1a817479b7329903d0cbf83bb8f9061b94d6a958050dc4ec3","source":{"kind":"arxiv","id":"1901.09888","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.09888","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"arxiv_version","alias_value":"1901.09888v1","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.09888","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"pith_short_12","alias_value":"FBPE32VGQXEO","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"FBPE32VGQXEODKAX","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"FBPE32VG","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:FBPE32VGQXEODKAXI6NXGKMQHU","target":"record","payload":{"canonical_record":{"source":{"id":"1901.09888","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2019-01-29T14:18:38Z","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"title_canon_sha256":"dc8c16e3838ddef0729750e211361abf51efbe1b24e711ee24b2c1e9e2293b37","abstract_canon_sha256":"2cfdc4e39f3e693c2466a924e0a2ad834d1d0bf69c05593b392e6ee571420106"},"schema_version":"1.0"},"canonical_sha256":"285e4deaa685c8e1a817479b7329903d0cbf83bb8f9061b94d6a958050dc4ec3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:16.622024Z","signature_b64":"RC7aQsQ+5zTZ8TQ7vSXzqOELS6nOY08Sqhm+Aj4erWHcNnCsLDyBvpKeXUaWpC+K7pPXPn0Ip+AEFIbWEHJDBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"285e4deaa685c8e1a817479b7329903d0cbf83bb8f9061b94d6a958050dc4ec3","last_reissued_at":"2026-05-17T23:55:16.621526Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:16.621526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.09888","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:55:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FhLQx6fYOo5YWhbE4Hss3U7g4Ii9y6Vu+Dwp8DgWTooCipbI/VBdP7IUyvaPb8Vm9uvdaHFaePdSQhc946DBBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T15:13:11.010176Z"},"content_sha256":"5324fa995344f5e34af343d4d7fdb324ea4a585faae4538f1a993731aa62ce66","schema_version":"1.0","event_id":"sha256:5324fa995344f5e34af343d4d7fdb324ea4a585faae4538f1a993731aa62ce66"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:FBPE32VGQXEODKAXI6NXGKMQHU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","stat.ML"],"primary_cat":"cs.IR","authors_text":"Adrian Flanagan, Elena Ivannikova, Kuan Eeik Tan, Muhammad Ammad-ud-din, Qiang Fu, Suleiman A. Khan, Were Oyomno","submitted_at":"2019-01-29T14:18:38Z","abstract_excerpt":"The increasing interest in user privacy is leading to new privacy preserving machine learning paradigms. In the Federated Learning paradigm, a master machine learning model is distributed to user clients, the clients use their locally stored data and model for both inference and calculating model updates. The model updates are sent back and aggregated on the server to update the master model then redistributed to the clients. In this paradigm, the user data never leaves the client, greatly enhancing the user' privacy, in contrast to the traditional paradigm of collecting, storing and processin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.09888","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:55:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"81KX8m+gKpYfHoE7gLNVJlZh5Q1gdnkGK71xbyGp6wUIruRNQxpwKFfXypW2EC+30AK+JVoNSlFD7MqzSuLfAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T15:13:11.010862Z"},"content_sha256":"5565398045c46c74843ce98c41b0447905fcdec254308acf3b59f0508a555efc","schema_version":"1.0","event_id":"sha256:5565398045c46c74843ce98c41b0447905fcdec254308acf3b59f0508a555efc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FBPE32VGQXEODKAXI6NXGKMQHU/bundle.json","state_url":"https://pith.science/pith/FBPE32VGQXEODKAXI6NXGKMQHU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FBPE32VGQXEODKAXI6NXGKMQHU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-29T15:13:11Z","links":{"resolver":"https://pith.science/pith/FBPE32VGQXEODKAXI6NXGKMQHU","bundle":"https://pith.science/pith/FBPE32VGQXEODKAXI6NXGKMQHU/bundle.json","state":"https://pith.science/pith/FBPE32VGQXEODKAXI6NXGKMQHU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FBPE32VGQXEODKAXI6NXGKMQHU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:FBPE32VGQXEODKAXI6NXGKMQHU","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":"2cfdc4e39f3e693c2466a924e0a2ad834d1d0bf69c05593b392e6ee571420106","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2019-01-29T14:18:38Z","title_canon_sha256":"dc8c16e3838ddef0729750e211361abf51efbe1b24e711ee24b2c1e9e2293b37"},"schema_version":"1.0","source":{"id":"1901.09888","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.09888","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"arxiv_version","alias_value":"1901.09888v1","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.09888","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"pith_short_12","alias_value":"FBPE32VGQXEO","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"FBPE32VGQXEODKAX","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"FBPE32VG","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:5565398045c46c74843ce98c41b0447905fcdec254308acf3b59f0508a555efc","target":"graph","created_at":"2026-05-17T23:55:16Z","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"},"paper":{"abstract_excerpt":"The increasing interest in user privacy is leading to new privacy preserving machine learning paradigms. In the Federated Learning paradigm, a master machine learning model is distributed to user clients, the clients use their locally stored data and model for both inference and calculating model updates. The model updates are sent back and aggregated on the server to update the master model then redistributed to the clients. In this paradigm, the user data never leaves the client, greatly enhancing the user' privacy, in contrast to the traditional paradigm of collecting, storing and processin","authors_text":"Adrian Flanagan, Elena Ivannikova, Kuan Eeik Tan, Muhammad Ammad-ud-din, Qiang Fu, Suleiman A. Khan, Were Oyomno","cross_cats":["cs.AI","cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2019-01-29T14:18:38Z","title":"Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.09888","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":"sha256:5324fa995344f5e34af343d4d7fdb324ea4a585faae4538f1a993731aa62ce66","target":"record","created_at":"2026-05-17T23:55:16Z","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":"2cfdc4e39f3e693c2466a924e0a2ad834d1d0bf69c05593b392e6ee571420106","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2019-01-29T14:18:38Z","title_canon_sha256":"dc8c16e3838ddef0729750e211361abf51efbe1b24e711ee24b2c1e9e2293b37"},"schema_version":"1.0","source":{"id":"1901.09888","kind":"arxiv","version":1}},"canonical_sha256":"285e4deaa685c8e1a817479b7329903d0cbf83bb8f9061b94d6a958050dc4ec3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"285e4deaa685c8e1a817479b7329903d0cbf83bb8f9061b94d6a958050dc4ec3","first_computed_at":"2026-05-17T23:55:16.621526Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:16.621526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RC7aQsQ+5zTZ8TQ7vSXzqOELS6nOY08Sqhm+Aj4erWHcNnCsLDyBvpKeXUaWpC+K7pPXPn0Ip+AEFIbWEHJDBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:16.622024Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.09888","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5324fa995344f5e34af343d4d7fdb324ea4a585faae4538f1a993731aa62ce66","sha256:5565398045c46c74843ce98c41b0447905fcdec254308acf3b59f0508a555efc"],"state_sha256":"f575ecea99412670ad25e552a06a960a6f71bd1a066219ceb3e55869f9cd6217"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iJIlkmgYeNJJWhbgbkQGhz4/ilASte1H/WKs80yk7gVBM/F7vhau9PzE0DOvPxyrFLeIZY9bPrCDE0b7wnRPBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T15:13:11.014419Z","bundle_sha256":"5fd048ad447788f7969232ca2cbff455970a7ac9b613850af394211a2d916898"}}