{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:FPKKOVVBHZCSUKBYV6NMILTFU7","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":"5ae8d8cc1b26d7839167948e44a59ed83b1bf19e1e8a49f7ba76ca5412f0a033","cross_cats_sorted":["cs.DC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-27T18:15:38Z","title_canon_sha256":"55938cee02c4f66205def1894e3df9dd84c0f4342c386e21c45546e1b3986c4a"},"schema_version":"1.0","source":{"id":"2002.12301","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.12301","created_at":"2026-07-05T02:52:38Z"},{"alias_kind":"arxiv_version","alias_value":"2002.12301v5","created_at":"2026-07-05T02:52:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.12301","created_at":"2026-07-05T02:52:38Z"},{"alias_kind":"pith_short_12","alias_value":"FPKKOVVBHZCS","created_at":"2026-07-05T02:52:38Z"},{"alias_kind":"pith_short_16","alias_value":"FPKKOVVBHZCSUKBY","created_at":"2026-07-05T02:52:38Z"},{"alias_kind":"pith_short_8","alias_value":"FPKKOVVB","created_at":"2026-07-05T02:52:38Z"}],"graph_snapshots":[{"event_id":"sha256:5ef6b8aa1dcfb10a674504bee7dc128339515c3f5f4ac5b1b09a82fc46cdbd70","target":"graph","created_at":"2026-07-05T02:52:38Z","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/2002.12301/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most edge AI focuses on prediction tasks on resource-limited edge devices while the training is done at server machines. However, retraining or customizing a model is required at edge devices as the model is becoming outdated due to environmental changes over time. To follow such a concept drift, a neural-network based on-device learning approach is recently proposed, so that edge devices train incoming data at runtime to update their model. In this case, since a training is done at distributed edge devices, the issue is that only a limited amount of training data can be used for each edge dev","authors_text":"Hiroki Matsutani, Mineto Tsukada, Rei Ito","cross_cats":["cs.DC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-27T18:15:38Z","title":"An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.12301","kind":"arxiv","version":5},"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:ba11800195ed9f2944e8150536ad01c650e5afe2b3fc38e6fa6c548cc6347f8e","target":"record","created_at":"2026-07-05T02:52:38Z","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":"5ae8d8cc1b26d7839167948e44a59ed83b1bf19e1e8a49f7ba76ca5412f0a033","cross_cats_sorted":["cs.DC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-27T18:15:38Z","title_canon_sha256":"55938cee02c4f66205def1894e3df9dd84c0f4342c386e21c45546e1b3986c4a"},"schema_version":"1.0","source":{"id":"2002.12301","kind":"arxiv","version":5}},"canonical_sha256":"2bd4a756a13e452a2838af9ac42e65a7d111199f2f60a814f9f36fb05cf82b49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2bd4a756a13e452a2838af9ac42e65a7d111199f2f60a814f9f36fb05cf82b49","first_computed_at":"2026-07-05T02:52:38.394286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:52:38.394286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ROy1Q4N53yrkefWSqd8EAEfx9b8kPPRzdQekZvwroiLAjPjMre7f14dLf0ux6pEU72bWIuNjGQgjDs3VaqB3Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:52:38.394767Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.12301","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba11800195ed9f2944e8150536ad01c650e5afe2b3fc38e6fa6c548cc6347f8e","sha256:5ef6b8aa1dcfb10a674504bee7dc128339515c3f5f4ac5b1b09a82fc46cdbd70"],"state_sha256":"b9aed4f68e944930c6e3316d6e6d040fad6fd80b8ff7e2846da7c4653d3cb31e"}