{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ROK6VLHN4YDIGOURPQH5CEFBXC","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":"81b6b72f665bfa88e387bdeb44318148af2f21a85d7b6da4599cfbb5e5df551f","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-06T07:09:21Z","title_canon_sha256":"4fee7f7e75ea9752825293208ca6f67d26569820b5addeabcc27885ea617c6e9"},"schema_version":"1.0","source":{"id":"2209.02257","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.02257","created_at":"2026-07-05T06:12:36Z"},{"alias_kind":"arxiv_version","alias_value":"2209.02257v2","created_at":"2026-07-05T06:12:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.02257","created_at":"2026-07-05T06:12:36Z"},{"alias_kind":"pith_short_12","alias_value":"ROK6VLHN4YDI","created_at":"2026-07-05T06:12:36Z"},{"alias_kind":"pith_short_16","alias_value":"ROK6VLHN4YDIGOUR","created_at":"2026-07-05T06:12:36Z"},{"alias_kind":"pith_short_8","alias_value":"ROK6VLHN","created_at":"2026-07-05T06:12:36Z"}],"graph_snapshots":[{"event_id":"sha256:7ede74bd603ff2d3080a8dece72a2aaf71a6c0b4ab378f7df0a625b30ff6076f","target":"graph","created_at":"2026-07-05T06:12:36Z","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/2209.02257/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning (FL) is a subfield of machine learning where multiple clients try to collaboratively learn a model over a network under communication constraints. We consider finite-sum federated optimization under a second-order function similarity condition and strong convexity, and propose two new algorithms: SVRP and Catalyzed SVRP. This second-order similarity condition has grown popular recently, and is satisfied in many applications including distributed statistical learning and differentially private empirical risk minimization. The first algorithm, SVRP, combines approximate stocha","authors_text":"Ahmed Khaled, Chi Jin","cross_cats":["math.OC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-06T07:09:21Z","title":"Faster federated optimization under second-order similarity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.02257","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":"sha256:51cb371be16382a695d56aa54e5002a41bc31612bad5bca3661869156533c059","target":"record","created_at":"2026-07-05T06:12:36Z","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":"81b6b72f665bfa88e387bdeb44318148af2f21a85d7b6da4599cfbb5e5df551f","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-06T07:09:21Z","title_canon_sha256":"4fee7f7e75ea9752825293208ca6f67d26569820b5addeabcc27885ea617c6e9"},"schema_version":"1.0","source":{"id":"2209.02257","kind":"arxiv","version":2}},"canonical_sha256":"8b95eaacede606833a917c0fd110a1b893ba8a7ba944015d1f64e22e07590d43","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b95eaacede606833a917c0fd110a1b893ba8a7ba944015d1f64e22e07590d43","first_computed_at":"2026-07-05T06:12:36.066115Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:12:36.066115Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lw0zWzqm91rUXGjQfshmoZzc3LJRh569MwMUFeeXT9WcNGCXSg+GpbyBVVmQFj26b09UJV9BfoqKcYKAxvX0Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:12:36.066546Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.02257","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51cb371be16382a695d56aa54e5002a41bc31612bad5bca3661869156533c059","sha256:7ede74bd603ff2d3080a8dece72a2aaf71a6c0b4ab378f7df0a625b30ff6076f"],"state_sha256":"c4d434db812fb21174a0ae49d54033acda41de57c23d2860844e710c8d0ff340"}