{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2NWE3QV3IDL2IF5QMZIXCXPKH2","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":"8a2b5dea7701b7d7ea43ac053829c07882a3ce9a6366f2a71870ac8e7debf71a","cross_cats_sorted":["cs.DC","math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-21T03:55:29Z","title_canon_sha256":"53260abd500c0d8ceb129db59d5f13aab3fe3b1ccbfa64eefcd1ca1dc998d048"},"schema_version":"1.0","source":{"id":"2302.10429","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.10429","created_at":"2026-07-05T06:27:46Z"},{"alias_kind":"arxiv_version","alias_value":"2302.10429v2","created_at":"2026-07-05T06:27:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.10429","created_at":"2026-07-05T06:27:46Z"},{"alias_kind":"pith_short_12","alias_value":"2NWE3QV3IDL2","created_at":"2026-07-05T06:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"2NWE3QV3IDL2IF5Q","created_at":"2026-07-05T06:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"2NWE3QV3","created_at":"2026-07-05T06:27:46Z"}],"graph_snapshots":[{"event_id":"sha256:589c62340b1178d51cf708a05f7f4fcf088ab4a92e1561675ca00b6dea70db2f","target":"graph","created_at":"2026-07-05T06:27:46Z","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/2302.10429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning is an emerging distributed machine learning framework which jointly trains a global model via a large number of local devices with data privacy protections. Its performance suffers from the non-vanishing biases introduced by the local inconsistent optimal and the rugged client-drifts by the local over-fitting. In this paper, we propose a novel and practical method, FedSpeed, to alleviate the negative impacts posed by these problems. Concretely, FedSpeed applies the prox-correction term on the current local updates to efficiently reduce the biases introduced by the prox-term,","authors_text":"Dacheng Tao, Liang Ding, Li Shen, Tiansheng Huang, Yan Sun","cross_cats":["cs.DC","math.OC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-21T03:55:29Z","title":"FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.10429","kind":"arxiv","version":2},"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":"sha256:9549502863e3dcb4ac69c1f43b6d104a1c98dc51df4b850879b457e806076764","target":"record","created_at":"2026-07-05T06:27:46Z","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":"8a2b5dea7701b7d7ea43ac053829c07882a3ce9a6366f2a71870ac8e7debf71a","cross_cats_sorted":["cs.DC","math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-21T03:55:29Z","title_canon_sha256":"53260abd500c0d8ceb129db59d5f13aab3fe3b1ccbfa64eefcd1ca1dc998d048"},"schema_version":"1.0","source":{"id":"2302.10429","kind":"arxiv","version":2}},"canonical_sha256":"d36c4dc2bb40d7a417b06651715dea3e83d24e2caa61c9d4855116547a0f70e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d36c4dc2bb40d7a417b06651715dea3e83d24e2caa61c9d4855116547a0f70e4","first_computed_at":"2026-07-05T06:27:46.128329Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:27:46.128329Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Iejs4bdaD5J7tJeYlaNwgNmzlfVw4+aeZBJlO1gKsA6P7tmtXUF4vfHUwqKlt1e+h0m0ZO1DMUYJOZBNhjEpCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:27:46.128837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.10429","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9549502863e3dcb4ac69c1f43b6d104a1c98dc51df4b850879b457e806076764","sha256:589c62340b1178d51cf708a05f7f4fcf088ab4a92e1561675ca00b6dea70db2f"],"state_sha256":"c02529e0067b0f7431d96b141c39e6c88027f9fd74ca25e3999d26190be19980"}