{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MOITTH4JL6VY2EK6JVDT7DAWMP","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":"363794519fb0fad3e489364716ed3e42674ab41cbb44e00eb1083646d18c8c6c","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-04T04:28:05Z","title_canon_sha256":"7444c47b9d4c56c7a7b6ce5ab67bc0fce7b4a7abd857e60fec536d3a9c282a2c"},"schema_version":"1.0","source":{"id":"1912.01792","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.01792","created_at":"2026-07-05T00:24:56Z"},{"alias_kind":"arxiv_version","alias_value":"1912.01792v2","created_at":"2026-07-05T00:24:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.01792","created_at":"2026-07-05T00:24:56Z"},{"alias_kind":"pith_short_12","alias_value":"MOITTH4JL6VY","created_at":"2026-07-05T00:24:56Z"},{"alias_kind":"pith_short_16","alias_value":"MOITTH4JL6VY2EK6","created_at":"2026-07-05T00:24:56Z"},{"alias_kind":"pith_short_8","alias_value":"MOITTH4J","created_at":"2026-07-05T00:24:56Z"}],"graph_snapshots":[{"event_id":"sha256:bb1d7e7dbb681d997f93203b19435647e10f30ea1011b19f14d5852a4c3da410","target":"graph","created_at":"2026-07-05T00:24:56Z","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/1912.01792/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning opens a number of research opportunities due to its high communication efficiency in distributed training problems within a star network. In this paper, we focus on improving the communication efficiency for fully decentralized federated learning over a graph, where the algorithm performs local updates for several iterations and then enables communications among the nodes. In such a way, the communication rounds of exchanging the common interest of parameters can be saved significantly without loss of optimality of the solutions. Multiple numerical simulations based on large","authors_text":"Christina Mack, Songtao Lu, Yawen Zhang, Yunlong Wang","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-04T04:28:05Z","title":"Learn Electronic Health Records by Fully Decentralized Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.01792","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":"sha256:29254d602e255cb12d98330fdfe1dbfbd2ca796d4fe7e55d338340585ed7936b","target":"record","created_at":"2026-07-05T00:24:56Z","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":"363794519fb0fad3e489364716ed3e42674ab41cbb44e00eb1083646d18c8c6c","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-04T04:28:05Z","title_canon_sha256":"7444c47b9d4c56c7a7b6ce5ab67bc0fce7b4a7abd857e60fec536d3a9c282a2c"},"schema_version":"1.0","source":{"id":"1912.01792","kind":"arxiv","version":2}},"canonical_sha256":"6391399f895fab8d115e4d473f8c1663ed55bcabe2dc4f8e8055b64a7e288389","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6391399f895fab8d115e4d473f8c1663ed55bcabe2dc4f8e8055b64a7e288389","first_computed_at":"2026-07-05T00:24:56.741146Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:24:56.741146Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6ennPvP1SF/Ta/VwHkbUul3sZ/BShzN6+oixtyxjkRi0JrLTb2thIfIkzla86avRo+AtuJaeKQHVf5qsvgTWAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:24:56.741563Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.01792","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29254d602e255cb12d98330fdfe1dbfbd2ca796d4fe7e55d338340585ed7936b","sha256:bb1d7e7dbb681d997f93203b19435647e10f30ea1011b19f14d5852a4c3da410"],"state_sha256":"fddbf0331c4d7ea6cbb07222fbef548230dac5988ee3dc396336ee49849fe77a"}