{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6RAOYQZVVSZRNF34DHOPKTJPKJ","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":"494d0d4a9fdc66adcd5ab27bc88b2417cf8179049880ded63bab7f08ea4e1499","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-21T23:09:45Z","title_canon_sha256":"5d780a11b6a454f1678c5d05fb4d125b819a27b949be3741f8c11f7a7124737c"},"schema_version":"1.0","source":{"id":"2302.11051","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.11051","created_at":"2026-07-05T05:44:29Z"},{"alias_kind":"arxiv_version","alias_value":"2302.11051v1","created_at":"2026-07-05T05:44:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.11051","created_at":"2026-07-05T05:44:29Z"},{"alias_kind":"pith_short_12","alias_value":"6RAOYQZVVSZR","created_at":"2026-07-05T05:44:29Z"},{"alias_kind":"pith_short_16","alias_value":"6RAOYQZVVSZRNF34","created_at":"2026-07-05T05:44:29Z"},{"alias_kind":"pith_short_8","alias_value":"6RAOYQZV","created_at":"2026-07-05T05:44:29Z"}],"graph_snapshots":[{"event_id":"sha256:11582a517d7cbeb34f4f3b6301ab5acbbb43e6e855b83cf08569d3bd1cb0909d","target":"graph","created_at":"2026-07-05T05:44:29Z","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/2302.11051/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Personalized federated learning, as a variant of federated learning, trains customized models for clients using their heterogeneously distributed data. However, it is still inconclusive about how to design personalized models with better representation of shared global knowledge and personalized pattern. To bridge the gap, we in this paper explore personalized models with low-rank and sparse decomposition. Specifically, we employ proper regularization to extract a low-rank global knowledge representation (GKR), so as to distill global knowledge into a compact representation. Subsequently, we e","authors_text":"Dacheng Tao, Li Shen, Tiansheng Huang, Weiwei Lin, Yan Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-21T23:09:45Z","title":"Fusion of Global and Local Knowledge for Personalized Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.11051","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:bed2bb78c380ee097124dc5b6acd5b52f4beae249c9ca92ff11fb44aad5baaef","target":"record","created_at":"2026-07-05T05:44:29Z","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":"494d0d4a9fdc66adcd5ab27bc88b2417cf8179049880ded63bab7f08ea4e1499","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-02-21T23:09:45Z","title_canon_sha256":"5d780a11b6a454f1678c5d05fb4d125b819a27b949be3741f8c11f7a7124737c"},"schema_version":"1.0","source":{"id":"2302.11051","kind":"arxiv","version":1}},"canonical_sha256":"f440ec4335acb316977c19dcf54d2f5259ce98ec2ee953254fda54d8041b3e9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f440ec4335acb316977c19dcf54d2f5259ce98ec2ee953254fda54d8041b3e9b","first_computed_at":"2026-07-05T05:44:29.905817Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:44:29.905817Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xRQFGnkZInA4LzlLdncEy9iUgRKNflWlCLm9qme25qtXfaojkxohv0YhZwim8oloBX+KblwUD1ywmRKhexDaCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:44:29.906285Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.11051","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bed2bb78c380ee097124dc5b6acd5b52f4beae249c9ca92ff11fb44aad5baaef","sha256:11582a517d7cbeb34f4f3b6301ab5acbbb43e6e855b83cf08569d3bd1cb0909d"],"state_sha256":"6a1a80bb18042397f1fdd267a418c9f541ba955d73a9c13faa0619aa7ee75daa"}