{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZX3LZN7DZECLTQDQEBIN5IE4QA","short_pith_number":"pith:ZX3LZN7D","canonical_record":{"source":{"id":"2411.10383","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-15T17:46:42Z","cross_cats_sorted":[],"title_canon_sha256":"be8edd88f98d8ca3e0a4aee5463df06ad74c4e30f186471fdfe580ba597afcd3","abstract_canon_sha256":"3396808fdd2433f4f36a5a4258c56b0a764f1e3ddd36a2e7e2b0d3deb2106ca2"},"schema_version":"1.0"},"canonical_sha256":"cdf6bcb7e3c904b9c0702050dea09c8039fad6c0518782cf8f6650702f12bf37","source":{"kind":"arxiv","id":"2411.10383","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10383","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10383v1","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10383","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZX3LZN7DZECL","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZX3LZN7DZECLTQDQ","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZX3LZN7D","created_at":"2026-07-05T09:36:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZX3LZN7DZECLTQDQEBIN5IE4QA","target":"record","payload":{"canonical_record":{"source":{"id":"2411.10383","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-15T17:46:42Z","cross_cats_sorted":[],"title_canon_sha256":"be8edd88f98d8ca3e0a4aee5463df06ad74c4e30f186471fdfe580ba597afcd3","abstract_canon_sha256":"3396808fdd2433f4f36a5a4258c56b0a764f1e3ddd36a2e7e2b0d3deb2106ca2"},"schema_version":"1.0"},"canonical_sha256":"cdf6bcb7e3c904b9c0702050dea09c8039fad6c0518782cf8f6650702f12bf37","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:36:04.454248Z","signature_b64":"Q+YnoJI8jdkccDWEZVKXZexfNggm1/GrCljLJ3iR7mM81D4BEipIhw3x3M8Que8N6IwWo+yi8gYBS98ioG2HBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cdf6bcb7e3c904b9c0702050dea09c8039fad6c0518782cf8f6650702f12bf37","last_reissued_at":"2026-07-05T09:36:04.453728Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:36:04.453728Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.10383","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:36:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"az4pfn/WFvIsA/jD7guKrc6yecUeEr65abuGi+1i+t5Ybne/Mni/ouItgEWXBq7r1tYnx9p9XYWqyUqMciyDCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:39:35.992229Z"},"content_sha256":"4b1de188f83c7907a2178ba5b920d91dc338a1dc3b5df1445d0633ff1248b8fb","schema_version":"1.0","event_id":"sha256:4b1de188f83c7907a2178ba5b920d91dc338a1dc3b5df1445d0633ff1248b8fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZX3LZN7DZECLTQDQEBIN5IE4QA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Aastik Solanki, Ganesh Ramakrishnan, Humaira Firdowse, Kshitij S. Jadhav, Shubh Gupta, Suraj Racha","submitted_at":"2024-11-15T17:46:42Z","abstract_excerpt":"Federated Learning (FL) is a pioneering approach in distributed machine learning, enabling collaborative model training across multiple clients while retaining data privacy. However, the inherent heterogeneity due to imbalanced resource representations across multiple clients poses significant challenges, often introducing bias towards the majority class. This issue is particularly prevalent in healthcare settings, where hospitals acting as clients share medical images. To address class imbalance and reduce bias, we propose a co-distillation driven framework in a federated healthcare setting. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10383","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.10383/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:36:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EE7bh2Q87F8mJo9D3RmapY3gZYRNUc6rp6ISAtVPfhlTsa2j2CODl7tek8nwQnMnPEzBXTJ20EO6oSenhJHUBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:39:35.992742Z"},"content_sha256":"078f1fa1905041607892c305d44c8cbe3d1651508e442132520603df12056a91","schema_version":"1.0","event_id":"sha256:078f1fa1905041607892c305d44c8cbe3d1651508e442132520603df12056a91"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZX3LZN7DZECLTQDQEBIN5IE4QA/bundle.json","state_url":"https://pith.science/pith/ZX3LZN7DZECLTQDQEBIN5IE4QA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZX3LZN7DZECLTQDQEBIN5IE4QA/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T23:39:35Z","links":{"resolver":"https://pith.science/pith/ZX3LZN7DZECLTQDQEBIN5IE4QA","bundle":"https://pith.science/pith/ZX3LZN7DZECLTQDQEBIN5IE4QA/bundle.json","state":"https://pith.science/pith/ZX3LZN7DZECLTQDQEBIN5IE4QA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZX3LZN7DZECLTQDQEBIN5IE4QA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZX3LZN7DZECLTQDQEBIN5IE4QA","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":"3396808fdd2433f4f36a5a4258c56b0a764f1e3ddd36a2e7e2b0d3deb2106ca2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-15T17:46:42Z","title_canon_sha256":"be8edd88f98d8ca3e0a4aee5463df06ad74c4e30f186471fdfe580ba597afcd3"},"schema_version":"1.0","source":{"id":"2411.10383","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10383","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10383v1","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10383","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZX3LZN7DZECL","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZX3LZN7DZECLTQDQ","created_at":"2026-07-05T09:36:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZX3LZN7D","created_at":"2026-07-05T09:36:04Z"}],"graph_snapshots":[{"event_id":"sha256:078f1fa1905041607892c305d44c8cbe3d1651508e442132520603df12056a91","target":"graph","created_at":"2026-07-05T09:36:04Z","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/2411.10383/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) is a pioneering approach in distributed machine learning, enabling collaborative model training across multiple clients while retaining data privacy. However, the inherent heterogeneity due to imbalanced resource representations across multiple clients poses significant challenges, often introducing bias towards the majority class. This issue is particularly prevalent in healthcare settings, where hospitals acting as clients share medical images. To address class imbalance and reduce bias, we propose a co-distillation driven framework in a federated healthcare setting. ","authors_text":"Aastik Solanki, Ganesh Ramakrishnan, Humaira Firdowse, Kshitij S. Jadhav, Shubh Gupta, Suraj Racha","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-15T17:46:42Z","title":"Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10383","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":"sha256:4b1de188f83c7907a2178ba5b920d91dc338a1dc3b5df1445d0633ff1248b8fb","target":"record","created_at":"2026-07-05T09:36:04Z","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":"3396808fdd2433f4f36a5a4258c56b0a764f1e3ddd36a2e7e2b0d3deb2106ca2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-15T17:46:42Z","title_canon_sha256":"be8edd88f98d8ca3e0a4aee5463df06ad74c4e30f186471fdfe580ba597afcd3"},"schema_version":"1.0","source":{"id":"2411.10383","kind":"arxiv","version":1}},"canonical_sha256":"cdf6bcb7e3c904b9c0702050dea09c8039fad6c0518782cf8f6650702f12bf37","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cdf6bcb7e3c904b9c0702050dea09c8039fad6c0518782cf8f6650702f12bf37","first_computed_at":"2026-07-05T09:36:04.453728Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:36:04.453728Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q+YnoJI8jdkccDWEZVKXZexfNggm1/GrCljLJ3iR7mM81D4BEipIhw3x3M8Que8N6IwWo+yi8gYBS98ioG2HBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:36:04.454248Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.10383","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b1de188f83c7907a2178ba5b920d91dc338a1dc3b5df1445d0633ff1248b8fb","sha256:078f1fa1905041607892c305d44c8cbe3d1651508e442132520603df12056a91"],"state_sha256":"292fe2303dfaacc9b41b504d3249415709ccc23d5acf900d52dd366f1583f724"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WtnOQFYBYO1XSRb3tC6gkXyUNX3fvctIaSKVevCKDi1/QWEhf7HDATYW41awhF2osu1jVh50flQ67CWh9DEiCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T23:39:35.996803Z","bundle_sha256":"b8bb693eb075f756b30f4a34ffafd7490392ce7091d6ef1a09a7f20a11cd4bd2"}}