{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LUCBFPQCSAN2SDVYBP3Y72EQAY","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":"4a4c0460d88e7f9db33698d0898a60e5a0638b706767d9fadbd4a1cc858bbfa5","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-27T06:51:48Z","title_canon_sha256":"e8861aaabb0208029bcce0d98069c2c60a70f2601b36cbab8ebcca2bdf46515a"},"schema_version":"1.0","source":{"id":"2206.13079","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.13079","created_at":"2026-07-05T04:35:02Z"},{"alias_kind":"arxiv_version","alias_value":"2206.13079v1","created_at":"2026-07-05T04:35:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.13079","created_at":"2026-07-05T04:35:02Z"},{"alias_kind":"pith_short_12","alias_value":"LUCBFPQCSAN2","created_at":"2026-07-05T04:35:02Z"},{"alias_kind":"pith_short_16","alias_value":"LUCBFPQCSAN2SDVY","created_at":"2026-07-05T04:35:02Z"},{"alias_kind":"pith_short_8","alias_value":"LUCBFPQC","created_at":"2026-07-05T04:35:02Z"}],"graph_snapshots":[{"event_id":"sha256:879258eb96a68339bd100088e06823aa18a249dc6142c0bab579acdc08f91bc6","target":"graph","created_at":"2026-07-05T04:35:02Z","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/2206.13079/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite recent progress on semi-supervised federated learning (FL) for medical image diagnosis, the problem of imbalanced class distributions among unlabeled clients is still unsolved for real-world use. In this paper, we study a practical yet challenging problem of class imbalanced semi-supervised FL (imFed-Semi), which allows all clients to have only unlabeled data while the server just has a small amount of labeled data. This imFed-Semi problem is addressed by a novel dynamic bank learning scheme, which improves client training by exploiting class proportion information. This scheme consist","authors_text":"Hongzheng Yang, Meirui Jiang, Pheng-Ann Heng, Qi Dou, Quande Liu, Xiaoxiao Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-27T06:51:48Z","title":"Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.13079","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:f01d3d1ad190f422210e395db46dec7f633367ff14a3c3593430346d22639898","target":"record","created_at":"2026-07-05T04:35:02Z","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":"4a4c0460d88e7f9db33698d0898a60e5a0638b706767d9fadbd4a1cc858bbfa5","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-27T06:51:48Z","title_canon_sha256":"e8861aaabb0208029bcce0d98069c2c60a70f2601b36cbab8ebcca2bdf46515a"},"schema_version":"1.0","source":{"id":"2206.13079","kind":"arxiv","version":1}},"canonical_sha256":"5d0412be02901ba90eb80bf78fe890063310786911fec75c972999a7784b2b89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d0412be02901ba90eb80bf78fe890063310786911fec75c972999a7784b2b89","first_computed_at":"2026-07-05T04:35:02.498963Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:35:02.498963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DP3R9jtoWqAtdDo8qN8DQPAJJhd5EdrUShb6qRF2trhum9gzCSKWdGtqm+5yjdf6eWQWWluauMUDvTLrKC82Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:35:02.499598Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.13079","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f01d3d1ad190f422210e395db46dec7f633367ff14a3c3593430346d22639898","sha256:879258eb96a68339bd100088e06823aa18a249dc6142c0bab579acdc08f91bc6"],"state_sha256":"41d72e8e7f08b6b6229b8c42daae09c2a42973cd0acae32a9131159d03aae636"}