{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:S7K5MP5CYIK6ZUN6S27HBYATD4","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":"4ec208a10960af1398cf8d929338bea70314fcc1d52a9031476bc92646635f6a","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-28T05:07:26Z","title_canon_sha256":"ace27bcfc1ea95dc6b51ea3e24617c16e26a19dafae4f49c33fea0f662edc199"},"schema_version":"1.0","source":{"id":"2204.13291","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.13291","created_at":"2026-07-05T06:05:11Z"},{"alias_kind":"arxiv_version","alias_value":"2204.13291v3","created_at":"2026-07-05T06:05:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.13291","created_at":"2026-07-05T06:05:11Z"},{"alias_kind":"pith_short_12","alias_value":"S7K5MP5CYIK6","created_at":"2026-07-05T06:05:11Z"},{"alias_kind":"pith_short_16","alias_value":"S7K5MP5CYIK6ZUN6","created_at":"2026-07-05T06:05:11Z"},{"alias_kind":"pith_short_8","alias_value":"S7K5MP5C","created_at":"2026-07-05T06:05:11Z"}],"graph_snapshots":[{"event_id":"sha256:0593e2485c221b010314f0e44896ea66eed141ca76cc82d24328495e69581046","target":"graph","created_at":"2026-07-05T06:05:11Z","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/2204.13291/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated machine learning is growing fast in academia and industries as a solution to solve data hungriness and privacy issues in machine learning. Being a widely distributed system, federated machine learning requires various system design thinking. To better design a federated machine learning system, researchers have introduced multiple patterns and tactics that cover various system design aspects. However, the multitude of patterns leaves the designers confused about when and which pattern to adopt. In this paper, we present a set of decision models for the selection of patterns for feder","authors_text":"Hye-Young Paik, Liming Zhu, Qinghua Lu, Sin Kit Lo","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-28T05:07:26Z","title":"Decision Models for Selecting Federated Learning Architecture Patterns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.13291","kind":"arxiv","version":3},"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:cc6de3e024d12885fa5e88e7ed0dc9b89c92024c653e053c4461e2f6ab2e19ae","target":"record","created_at":"2026-07-05T06:05:11Z","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":"4ec208a10960af1398cf8d929338bea70314fcc1d52a9031476bc92646635f6a","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-28T05:07:26Z","title_canon_sha256":"ace27bcfc1ea95dc6b51ea3e24617c16e26a19dafae4f49c33fea0f662edc199"},"schema_version":"1.0","source":{"id":"2204.13291","kind":"arxiv","version":3}},"canonical_sha256":"97d5d63fa2c215ecd1be96be70e0131f3883ff5adae9fbc51dd422817bd71649","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97d5d63fa2c215ecd1be96be70e0131f3883ff5adae9fbc51dd422817bd71649","first_computed_at":"2026-07-05T06:05:11.732210Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:05:11.732210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rO2o6hUGfmeqNyziEmQNZHW7F5vEewOyqZzBSlt/ByMJjBDnqiKOrG/pYwOLS49yYlKaAlEru/XosMwVZz1MCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:05:11.732674Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.13291","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc6de3e024d12885fa5e88e7ed0dc9b89c92024c653e053c4461e2f6ab2e19ae","sha256:0593e2485c221b010314f0e44896ea66eed141ca76cc82d24328495e69581046"],"state_sha256":"01e481b41d6959c46e84425057a62a617f336f1afec0c5894eb90e37aacfd4c6"}