{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IASCBZUOHSKRUXN5HCH4K5SRB5","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":"dd6c4a908233b71a2907bd060304747a3ab1964c26b5c8b4c848d9e902082b12","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-13T01:14:27Z","title_canon_sha256":"191eaaa28ff6dff9118fbcaf5366de51cad537cd078a4809fea94050546a728b"},"schema_version":"1.0","source":{"id":"2408.06549","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.06549","created_at":"2026-07-05T08:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"2408.06549v1","created_at":"2026-07-05T08:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.06549","created_at":"2026-07-05T08:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"IASCBZUOHSKR","created_at":"2026-07-05T08:54:58Z"},{"alias_kind":"pith_short_16","alias_value":"IASCBZUOHSKRUXN5","created_at":"2026-07-05T08:54:58Z"},{"alias_kind":"pith_short_8","alias_value":"IASCBZUO","created_at":"2026-07-05T08:54:58Z"}],"graph_snapshots":[{"event_id":"sha256:dfbd74638bab605b946493f049dc7806a1d83efe308f4cd2f203364b7dfd246b","target":"graph","created_at":"2026-07-05T08:54:58Z","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/2408.06549/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) is a distributed machine learning approach that enables devices to collaboratively train models without sharing their local data, ensuring user privacy and scalability. However, applying FL to real-world data presents challenges, particularly as most existing FL research focuses on unimodal data. Multimodal Federated Learning (MFL) has emerged to address these challenges, leveraging modality-specific encoder models to process diverse datasets. Current MFL methods often uniformly allocate computational frequencies across all modalities, which is inefficient for IoT devic","authors_text":"Jieming Bian, Jie Xu, Lei Wang","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-13T01:14:27Z","title":"Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.06549","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":"sha256:03d139156981814fe8ed22a9b3bbb640521a41454b3ae47714a7ad1040860ea0","target":"record","created_at":"2026-07-05T08:54:58Z","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":"dd6c4a908233b71a2907bd060304747a3ab1964c26b5c8b4c848d9e902082b12","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-13T01:14:27Z","title_canon_sha256":"191eaaa28ff6dff9118fbcaf5366de51cad537cd078a4809fea94050546a728b"},"schema_version":"1.0","source":{"id":"2408.06549","kind":"arxiv","version":1}},"canonical_sha256":"402420e68e3c951a5dbd388fc576510f7328c9fa10e49f862f9ea11b4f5a85b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"402420e68e3c951a5dbd388fc576510f7328c9fa10e49f862f9ea11b4f5a85b6","first_computed_at":"2026-07-05T08:54:58.578531Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:58.578531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WEV+dtCosnbLVYkwoIPAtWpxRcDLXOO3qDKA5Uk3G2sXH+yK14NTszg6WEgB8JLoHM1I4aAnxVW8LkFO9XhpCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:58.578931Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.06549","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03d139156981814fe8ed22a9b3bbb640521a41454b3ae47714a7ad1040860ea0","sha256:dfbd74638bab605b946493f049dc7806a1d83efe308f4cd2f203364b7dfd246b"],"state_sha256":"17cb9d5665f8c317b16bcea7d80eae541b08f669b45ba809697ca1f539005253"}