{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZSR33M6R4G24UBJCUOEXTEI3XP","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":"b08dd03f1fc5f95779aecd2b02e20f7749331a8fbb609f4a888f5b576920ab42","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-09T05:05:47Z","title_canon_sha256":"6d83cddd5a848216736b8befe7c20f8647b04113088dc55717f9c28152acbb47"},"schema_version":"1.0","source":{"id":"2412.06210","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06210","created_at":"2026-07-05T09:54:06Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06210v2","created_at":"2026-07-05T09:54:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06210","created_at":"2026-07-05T09:54:06Z"},{"alias_kind":"pith_short_12","alias_value":"ZSR33M6R4G24","created_at":"2026-07-05T09:54:06Z"},{"alias_kind":"pith_short_16","alias_value":"ZSR33M6R4G24UBJC","created_at":"2026-07-05T09:54:06Z"},{"alias_kind":"pith_short_8","alias_value":"ZSR33M6R","created_at":"2026-07-05T09:54:06Z"}],"graph_snapshots":[{"event_id":"sha256:8a10f1af3dae5f7bcc54feadcb4534528091b5ca550e3de0505c6421144d208d","target":"graph","created_at":"2026-07-05T09:54:06Z","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/2412.06210/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The proliferation of Internet of Things (IoT) has increased interest in federated learning (FL) for privacy-preserving distributed data utilization. However, traditional two-tier FL architectures inadequately adapt to multi-tier IoT environments. While Hierarchical Federated Learning (HFL) improves practicality in multi-tier IoT environments by multi-layer aggregation, it still faces challenges in communication efficiency and accuracy due to high data transfer volumes, data heterogeneity, and imbalanced device distribution, struggling to meet the low-latency and high-accuracy model training re","authors_text":"Brad Campbell, Jiechao Gao, Yuangang Li, Yue Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-09T05:05:47Z","title":"H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06210","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:e1e291c496677b88cb4ddec2c93b21334515208041396c04877d68ad03b8fc8b","target":"record","created_at":"2026-07-05T09:54:06Z","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":"b08dd03f1fc5f95779aecd2b02e20f7749331a8fbb609f4a888f5b576920ab42","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-09T05:05:47Z","title_canon_sha256":"6d83cddd5a848216736b8befe7c20f8647b04113088dc55717f9c28152acbb47"},"schema_version":"1.0","source":{"id":"2412.06210","kind":"arxiv","version":2}},"canonical_sha256":"cca3bdb3d1e1b5ca0522a38979911bbbeaf74579c6c78cc66f4b6e3ffd1aa45f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cca3bdb3d1e1b5ca0522a38979911bbbeaf74579c6c78cc66f4b6e3ffd1aa45f","first_computed_at":"2026-07-05T09:54:06.262845Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:06.262845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FyqI8kHyoh1Hj2IYYFSF8/2sZZz14wiEQEv9zPTWmH+hdbtnmad/ebqAXzrsqXejyr5UR4qQ9nLFG0fa2ym2Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:06.263300Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.06210","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1e291c496677b88cb4ddec2c93b21334515208041396c04877d68ad03b8fc8b","sha256:8a10f1af3dae5f7bcc54feadcb4534528091b5ca550e3de0505c6421144d208d"],"state_sha256":"20d18f7f4397d20700d67ba143ffc05e78641c4afc438f0a1252882b62695212"}