{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PFO24Q7JOLV7KWWBYSEYATHZR5","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":"e76bc542024ef887923cffbd617a6e82e7ac6316054cb285fe46249298ceae07","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-29T08:46:21Z","title_canon_sha256":"8cb7d5679617cca028f6810166f3dfc7e96b41c1844b177f4dd136c74a532aaa"},"schema_version":"1.0","source":{"id":"2405.18890","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18890","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18890v1","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18890","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_12","alias_value":"PFO24Q7JOLV7","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_16","alias_value":"PFO24Q7JOLV7KWWB","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_8","alias_value":"PFO24Q7J","created_at":"2026-07-05T08:24:44Z"}],"graph_snapshots":[{"event_id":"sha256:9386162ac04df50ddc8c8ab9790fe29bd9e36ff11d3500d7dfeb88378961b77a","target":"graph","created_at":"2026-07-05T08:24:44Z","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/2405.18890/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In federated learning (FL), the multi-step update and data heterogeneity among clients often lead to a loss landscape with sharper minima, degenerating the performance of the resulted global model. Prevalent federated approaches incorporate sharpness-aware minimization (SAM) into local training to mitigate this problem. However, the local loss landscapes may not accurately reflect the flatness of global loss landscape in heterogeneous environments; as a result, minimizing local sharpness and calculating perturbations on client data might not align the efficacy of SAM in FL with centralized tra","authors_text":"Gang Niu, Jiangchao Yao, Masashi Sugiyama, Shengchao Hu, Yanfeng Wang, Ya Zhang, Ziqing Fan","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-29T08:46:21Z","title":"Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18890","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":"sha256:182e3b520068fc3fe23c07dcdca9fa35d0ee66863fb982daa7004ceb3c4ea743","target":"record","created_at":"2026-07-05T08:24:44Z","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":"e76bc542024ef887923cffbd617a6e82e7ac6316054cb285fe46249298ceae07","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-29T08:46:21Z","title_canon_sha256":"8cb7d5679617cca028f6810166f3dfc7e96b41c1844b177f4dd136c74a532aaa"},"schema_version":"1.0","source":{"id":"2405.18890","kind":"arxiv","version":1}},"canonical_sha256":"795dae43e972ebf55ac1c489804cf98f471678a24d710987d949f2aa10ede395","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"795dae43e972ebf55ac1c489804cf98f471678a24d710987d949f2aa10ede395","first_computed_at":"2026-07-05T08:24:44.930171Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:44.930171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NDG2R60m/FR1e1LSVLFw6nXiWRKrw7/sldr+afw3nkGFablldMH1hCLTENspbalcUwZcD/bJ3nwOPC4wdUAfBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:44.930678Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.18890","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:182e3b520068fc3fe23c07dcdca9fa35d0ee66863fb982daa7004ceb3c4ea743","sha256:9386162ac04df50ddc8c8ab9790fe29bd9e36ff11d3500d7dfeb88378961b77a"],"state_sha256":"d878e6c5aa62d2fa8da4c9e4ac57f57284ff980b74a4d91a0a60454eb400e9b9"}