{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3VMFSK2L3Z2WHPSYMM2PGX6DDK","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":"c3fec381177f8a4f6ed95faf84923fae18dc1e061b28e944085bbed0f29f1e14","cross_cats_sorted":["cs.AI","cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-13T16:57:48Z","title_canon_sha256":"2a2c550409987f42d6afe27cca31b68a51ae4fa2b967b08e3171c1a1cdb9348e"},"schema_version":"1.0","source":{"id":"2405.07925","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.07925","created_at":"2026-07-05T08:18:36Z"},{"alias_kind":"arxiv_version","alias_value":"2405.07925v1","created_at":"2026-07-05T08:18:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.07925","created_at":"2026-07-05T08:18:36Z"},{"alias_kind":"pith_short_12","alias_value":"3VMFSK2L3Z2W","created_at":"2026-07-05T08:18:36Z"},{"alias_kind":"pith_short_16","alias_value":"3VMFSK2L3Z2WHPSY","created_at":"2026-07-05T08:18:36Z"},{"alias_kind":"pith_short_8","alias_value":"3VMFSK2L","created_at":"2026-07-05T08:18:36Z"}],"graph_snapshots":[{"event_id":"sha256:22961367f0a78c378663503920553affd3cb73ec97a786b18399dd4fccc0b6e6","target":"graph","created_at":"2026-07-05T08:18:36Z","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/2405.07925/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The proliferation of edge devices has brought Federated Learning (FL) to the forefront as a promising paradigm for decentralized and collaborative model training while preserving the privacy of clients' data. However, FL struggles with a significant performance reduction and poor convergence when confronted with Non-Independent and Identically Distributed (Non-IID) data distributions among participating clients. While previous efforts, such as client drift mitigation and advanced server-side model fusion techniques, have shown some success in addressing this challenge, they often overlook the ","authors_text":"Bill Lin, Christos Louizos, Mahdi Morafah, Matthias Reisser","cross_cats":["cs.AI","cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-13T16:57:48Z","title":"Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.07925","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:a9419ca19aa046ed198e5cb1a6d4e03a52bd32f0403473a74df47589f498792b","target":"record","created_at":"2026-07-05T08:18:36Z","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":"c3fec381177f8a4f6ed95faf84923fae18dc1e061b28e944085bbed0f29f1e14","cross_cats_sorted":["cs.AI","cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-13T16:57:48Z","title_canon_sha256":"2a2c550409987f42d6afe27cca31b68a51ae4fa2b967b08e3171c1a1cdb9348e"},"schema_version":"1.0","source":{"id":"2405.07925","kind":"arxiv","version":1}},"canonical_sha256":"dd58592b4bde7563be586334f35fc31abb67151c4e05b938d2e93e485d667dd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd58592b4bde7563be586334f35fc31abb67151c4e05b938d2e93e485d667dd3","first_computed_at":"2026-07-05T08:18:36.898415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:36.898415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EtMzLwfFWQ0iI+XOlYqz0wAcbqLOOTeGuzfc5LYK3z23IUHhxWP94FFyvqeSm6zHsRC2OEf7HuCwOUSHfKhOCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:36.898891Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.07925","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9419ca19aa046ed198e5cb1a6d4e03a52bd32f0403473a74df47589f498792b","sha256:22961367f0a78c378663503920553affd3cb73ec97a786b18399dd4fccc0b6e6"],"state_sha256":"6a4e02680bc06af060387beafcf23bc794ea8498ccec7d994863f8bb38f1e941"}