{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YC6BI2ZG3WJ5P3YYJUSVC2CLNN","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":"0bba204503e83b585a1d06cd5c9a05ea0b6a103ed77dccdd4c4d6958c931031a","cross_cats_sorted":["cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-21T07:03:15Z","title_canon_sha256":"7338eaa600677bbc5774057d23e8f37e2d56dee06492dffc3da15f579e0c44bf"},"schema_version":"1.0","source":{"id":"2410.15693","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15693","created_at":"2026-07-05T09:23:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15693v1","created_at":"2026-07-05T09:23:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15693","created_at":"2026-07-05T09:23:23Z"},{"alias_kind":"pith_short_12","alias_value":"YC6BI2ZG3WJ5","created_at":"2026-07-05T09:23:23Z"},{"alias_kind":"pith_short_16","alias_value":"YC6BI2ZG3WJ5P3YY","created_at":"2026-07-05T09:23:23Z"},{"alias_kind":"pith_short_8","alias_value":"YC6BI2ZG","created_at":"2026-07-05T09:23:23Z"}],"graph_snapshots":[{"event_id":"sha256:18eaad0dfb7a77e0191fd7dd34b66272d4447cc5a187727eb2456192a6bd47fc","target":"graph","created_at":"2026-07-05T09:23:23Z","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/2410.15693/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning (FL) is a decentralized AI mechanism suitable for a large number of devices like in smart IoT. A major challenge of FL is the non-IID dataset problem, originating from the heterogeneous data collected by FL participants, leading to performance deterioration of the trained global model. There have been various attempts to rectify non-IID dataset, mostly focusing on manipulating the collected data. This paper, however, proposes a novel approach to ensure data IIDness by properly clustering and grouping mobile IoT nodes exploiting their geographical characteristics, so that eac","authors_text":"Changhee Joo, Hyoil Kim, Minkwon Lee","cross_cats":["cs.NI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-21T07:03:15Z","title":"Geographical Node Clustering and Grouping to Guarantee Data IIDness in Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15693","kind":"arxiv","version":1},"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:f33c868acd053dafc0076b62649f298688b5f88d9a05e48d4b1f991d3c0c61d5","target":"record","created_at":"2026-07-05T09:23:23Z","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":"0bba204503e83b585a1d06cd5c9a05ea0b6a103ed77dccdd4c4d6958c931031a","cross_cats_sorted":["cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-21T07:03:15Z","title_canon_sha256":"7338eaa600677bbc5774057d23e8f37e2d56dee06492dffc3da15f579e0c44bf"},"schema_version":"1.0","source":{"id":"2410.15693","kind":"arxiv","version":1}},"canonical_sha256":"c0bc146b26dd93d7ef184d2551684b6b6ccd9e61433748ce27dfff96aa2bc986","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0bc146b26dd93d7ef184d2551684b6b6ccd9e61433748ce27dfff96aa2bc986","first_computed_at":"2026-07-05T09:23:23.161445Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:23:23.161445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ASAMEPQWDRyWADQvcvmfOgqKe/HE6a8+ekrOkFbYZvtGzxXcV3cEuCdPNcZHgOWLnWMlQ1ZTYTjfXS7efhm3BA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:23:23.161944Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.15693","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f33c868acd053dafc0076b62649f298688b5f88d9a05e48d4b1f991d3c0c61d5","sha256:18eaad0dfb7a77e0191fd7dd34b66272d4447cc5a187727eb2456192a6bd47fc"],"state_sha256":"93620a38df7f17fd939ee56ec96f680c6bfb9668aa2c25e68e657e735c641def"}