{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TVMN2MT74OUNEFFE4XOMU3KBZX","short_pith_number":"pith:TVMN2MT7","canonical_record":{"source":{"id":"2410.01463","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T12:14:36Z","cross_cats_sorted":[],"title_canon_sha256":"b080a9dd4840a3ba0219d612be2dff0edc9d25148045f74c29b3db63ace40df7","abstract_canon_sha256":"576ca9fa3f53cd9f91b92448c6dba823edf830d9aed5d6adcdd1d295887c0466"},"schema_version":"1.0"},"canonical_sha256":"9d58dd327fe3a8d214a4e5dcca6d41cde0c4fa258bbbda8dbf0561429c770c33","source":{"kind":"arxiv","id":"2410.01463","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.01463","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"arxiv_version","alias_value":"2410.01463v3","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.01463","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"pith_short_12","alias_value":"TVMN2MT74OUN","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"pith_short_16","alias_value":"TVMN2MT74OUNEFFE","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"pith_short_8","alias_value":"TVMN2MT7","created_at":"2026-07-05T10:36:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TVMN2MT74OUNEFFE4XOMU3KBZX","target":"record","payload":{"canonical_record":{"source":{"id":"2410.01463","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T12:14:36Z","cross_cats_sorted":[],"title_canon_sha256":"b080a9dd4840a3ba0219d612be2dff0edc9d25148045f74c29b3db63ace40df7","abstract_canon_sha256":"576ca9fa3f53cd9f91b92448c6dba823edf830d9aed5d6adcdd1d295887c0466"},"schema_version":"1.0"},"canonical_sha256":"9d58dd327fe3a8d214a4e5dcca6d41cde0c4fa258bbbda8dbf0561429c770c33","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:36:29.424993Z","signature_b64":"rCGMZXhZJUn0JkiJMoSR/L5oM9zzYf1d0FnRgRNAiUdB0KIi+bzhW2oBt8WTaXD3lU7NzdXCj5/F0O6Azj8HBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d58dd327fe3a8d214a4e5dcca6d41cde0c4fa258bbbda8dbf0561429c770c33","last_reissued_at":"2026-07-05T10:36:29.423929Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:36:29.423929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.01463","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:36:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dUhXcBn8LPSINQwuZaP8Zys5UPY+7Rhps2XEK5GBzx/2OqY+04KSAS1NP3DeGCz117tuQrFsJIYIxLLyQ63KAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:01:06.731998Z"},"content_sha256":"b2ffed2fc916cff3dae2fdbfbdfde3a6e66bd595664f63e2a181d82d508402e7","schema_version":"1.0","event_id":"sha256:b2ffed2fc916cff3dae2fdbfbdfde3a6e66bd595664f63e2a181d82d508402e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TVMN2MT74OUNEFFE4XOMU3KBZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Selective Aggregation for Low-Rank Adaptation in Federated Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Feifei Wang, Huijie Fan, Liangqiong Qu, Pengxin Guo, Shuang Zeng, Yanran Wang","submitted_at":"2024-10-02T12:14:36Z","abstract_excerpt":"We investigate LoRA in federated learning through the lens of the asymmetry analysis of the learned $A$ and $B$ matrices. In doing so, we uncover that $A$ matrices are responsible for learning general knowledge, while $B$ matrices focus on capturing client-specific knowledge. Based on this finding, we introduce Federated Share-A Low-Rank Adaptation (FedSA-LoRA), which employs two low-rank trainable matrices $A$ and $B$ to model the weight update, but only $A$ matrices are shared with the server for aggregation. Moreover, we delve into the relationship between the learned $A$ and $B$ matrices i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.01463","kind":"arxiv","version":3},"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/2410.01463/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":"2026-07-05T10:36:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h8RH9j1PqIGWRICuY8CH4wEKZQFIoMnoTcGyS6/2+uNiyBIyxYVFPqR4wtQ2hpKpdgwuVKTQf6Ku4sGmpEv8Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:01:06.732508Z"},"content_sha256":"9236c9169630119b0af0c5726f9a7b1651c2442aac5f13bfffbe41eae0af2cb5","schema_version":"1.0","event_id":"sha256:9236c9169630119b0af0c5726f9a7b1651c2442aac5f13bfffbe41eae0af2cb5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TVMN2MT74OUNEFFE4XOMU3KBZX/bundle.json","state_url":"https://pith.science/pith/TVMN2MT74OUNEFFE4XOMU3KBZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TVMN2MT74OUNEFFE4XOMU3KBZX/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":"2026-08-08T04:01:06Z","links":{"resolver":"https://pith.science/pith/TVMN2MT74OUNEFFE4XOMU3KBZX","bundle":"https://pith.science/pith/TVMN2MT74OUNEFFE4XOMU3KBZX/bundle.json","state":"https://pith.science/pith/TVMN2MT74OUNEFFE4XOMU3KBZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TVMN2MT74OUNEFFE4XOMU3KBZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TVMN2MT74OUNEFFE4XOMU3KBZX","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":"576ca9fa3f53cd9f91b92448c6dba823edf830d9aed5d6adcdd1d295887c0466","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T12:14:36Z","title_canon_sha256":"b080a9dd4840a3ba0219d612be2dff0edc9d25148045f74c29b3db63ace40df7"},"schema_version":"1.0","source":{"id":"2410.01463","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.01463","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"arxiv_version","alias_value":"2410.01463v3","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.01463","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"pith_short_12","alias_value":"TVMN2MT74OUN","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"pith_short_16","alias_value":"TVMN2MT74OUNEFFE","created_at":"2026-07-05T10:36:29Z"},{"alias_kind":"pith_short_8","alias_value":"TVMN2MT7","created_at":"2026-07-05T10:36:29Z"}],"graph_snapshots":[{"event_id":"sha256:9236c9169630119b0af0c5726f9a7b1651c2442aac5f13bfffbe41eae0af2cb5","target":"graph","created_at":"2026-07-05T10:36:29Z","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/2410.01463/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We investigate LoRA in federated learning through the lens of the asymmetry analysis of the learned $A$ and $B$ matrices. In doing so, we uncover that $A$ matrices are responsible for learning general knowledge, while $B$ matrices focus on capturing client-specific knowledge. Based on this finding, we introduce Federated Share-A Low-Rank Adaptation (FedSA-LoRA), which employs two low-rank trainable matrices $A$ and $B$ to model the weight update, but only $A$ matrices are shared with the server for aggregation. Moreover, we delve into the relationship between the learned $A$ and $B$ matrices i","authors_text":"Feifei Wang, Huijie Fan, Liangqiong Qu, Pengxin Guo, Shuang Zeng, Yanran Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T12:14:36Z","title":"Selective Aggregation for Low-Rank Adaptation in Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.01463","kind":"arxiv","version":3},"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:b2ffed2fc916cff3dae2fdbfbdfde3a6e66bd595664f63e2a181d82d508402e7","target":"record","created_at":"2026-07-05T10:36:29Z","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":"576ca9fa3f53cd9f91b92448c6dba823edf830d9aed5d6adcdd1d295887c0466","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T12:14:36Z","title_canon_sha256":"b080a9dd4840a3ba0219d612be2dff0edc9d25148045f74c29b3db63ace40df7"},"schema_version":"1.0","source":{"id":"2410.01463","kind":"arxiv","version":3}},"canonical_sha256":"9d58dd327fe3a8d214a4e5dcca6d41cde0c4fa258bbbda8dbf0561429c770c33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d58dd327fe3a8d214a4e5dcca6d41cde0c4fa258bbbda8dbf0561429c770c33","first_computed_at":"2026-07-05T10:36:29.423929Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:29.423929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rCGMZXhZJUn0JkiJMoSR/L5oM9zzYf1d0FnRgRNAiUdB0KIi+bzhW2oBt8WTaXD3lU7NzdXCj5/F0O6Azj8HBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:29.424993Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.01463","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2ffed2fc916cff3dae2fdbfbdfde3a6e66bd595664f63e2a181d82d508402e7","sha256:9236c9169630119b0af0c5726f9a7b1651c2442aac5f13bfffbe41eae0af2cb5"],"state_sha256":"d1ecce03afc4d50d3562f66094d0c307e8a36d82c0ee25b311b05694243e16e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WZW6qXKZ9mQUMmv2cqiLcdl1bzLTvQrTY7i5UtxD2/4Q9U0hA7IK2mwxL+vU84Y/5yZlr2ergBgqH5r5lIxPBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T04:01:06.736507Z","bundle_sha256":"be9c6d0d12a5428714059d0f8151367923d8c47849956932b5398f1d27592222"}}