{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5XUS5SGDVHICKYIIN473ZWXMHI","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":"0ae353b470065d1290fca0e39a1c5ddcaf02ec85154370aa1ba584ebce17c87b","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-24T02:22:50Z","title_canon_sha256":"042a9623e25d4ce3ad3dc33b684e6fcb5e563e8afb9919b823dd2eafdc26deab"},"schema_version":"1.0","source":{"id":"2404.15598","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15598","created_at":"2026-07-05T08:11:30Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15598v1","created_at":"2026-07-05T08:11:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15598","created_at":"2026-07-05T08:11:30Z"},{"alias_kind":"pith_short_12","alias_value":"5XUS5SGDVHIC","created_at":"2026-07-05T08:11:30Z"},{"alias_kind":"pith_short_16","alias_value":"5XUS5SGDVHICKYII","created_at":"2026-07-05T08:11:30Z"},{"alias_kind":"pith_short_8","alias_value":"5XUS5SGD","created_at":"2026-07-05T08:11:30Z"}],"graph_snapshots":[{"event_id":"sha256:bd7d78263d05c7e7061cba20d3d0a747ebb2bcdaf1a003e5632ed57375a8a630","target":"graph","created_at":"2026-07-05T08:11:30Z","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/2404.15598/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning aims to collaboratively learn a model by using the data from multiple users under privacy constraints. In this paper, we study the multi-label classification problem under the federated learning setting, where trivial solution and extremely poor performance may be obtained, especially when only positive data w.r.t. a single class label are provided for each client. This issue can be addressed by adding a specially designed regularizer on the server-side. Although effective sometimes, the label correlations are simply ignored and thus sub-optimal performance may be obtained. ","authors_text":"Bo Du, Dacheng Tao, Dui Wang, Han Hu, Li Shen, Xuming An, Yonggang Wen, Yong Luo","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-24T02:22:50Z","title":"Federated Learning with Only Positive Labels by Exploring Label Correlations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15598","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":"sha256:9b9febcb4ee140bd290fe25bbc3f2b8e8f25218ac844cd0096c00e20c20faba9","target":"record","created_at":"2026-07-05T08:11:30Z","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":"0ae353b470065d1290fca0e39a1c5ddcaf02ec85154370aa1ba584ebce17c87b","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-24T02:22:50Z","title_canon_sha256":"042a9623e25d4ce3ad3dc33b684e6fcb5e563e8afb9919b823dd2eafdc26deab"},"schema_version":"1.0","source":{"id":"2404.15598","kind":"arxiv","version":1}},"canonical_sha256":"ede92ec8c3a9d02561086f3fbcdaec3a0aa6e8f24efb9d998114d04979f1980a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ede92ec8c3a9d02561086f3fbcdaec3a0aa6e8f24efb9d998114d04979f1980a","first_computed_at":"2026-07-05T08:11:30.319349Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:30.319349Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"asB9a1nys/DrPrwWGFa00VNEO+VJUoFZ/F71/hWLsenn3uSXOaDMhyxi9SDmP4xZhz1zAwJjzrNPqjHm6zxNDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:30.319865Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.15598","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b9febcb4ee140bd290fe25bbc3f2b8e8f25218ac844cd0096c00e20c20faba9","sha256:bd7d78263d05c7e7061cba20d3d0a747ebb2bcdaf1a003e5632ed57375a8a630"],"state_sha256":"76df14f7d640eb4b97c836d8dcc49173422bed93dbb2c895f8c6f61f45010850"}