{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6CAPVALKWOSTLDHW7IW7UOI2Q4","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":"162feb4a5bd4797ab54200f17e5e7407517e5eda24c8af0975805137e4a1df6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-25T09:18:51Z","title_canon_sha256":"9b01206a1afec10f9b5add4564befc705bc4da666a901c9873ba0dc173e231c0"},"schema_version":"1.0","source":{"id":"2401.14027","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.14027","created_at":"2026-07-05T07:37:21Z"},{"alias_kind":"arxiv_version","alias_value":"2401.14027v1","created_at":"2026-07-05T07:37:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.14027","created_at":"2026-07-05T07:37:21Z"},{"alias_kind":"pith_short_12","alias_value":"6CAPVALKWOST","created_at":"2026-07-05T07:37:21Z"},{"alias_kind":"pith_short_16","alias_value":"6CAPVALKWOSTLDHW","created_at":"2026-07-05T07:37:21Z"},{"alias_kind":"pith_short_8","alias_value":"6CAPVALK","created_at":"2026-07-05T07:37:21Z"}],"graph_snapshots":[{"event_id":"sha256:506520f799e92308398847fc819e6789a959d37a3f670b176a0d8fa6d13b58da","target":"graph","created_at":"2026-07-05T07:37:21Z","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/2401.14027/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To tackle the scarcity and privacy issues associated with domain-specific datasets, the integration of federated learning in conjunction with fine-tuning has emerged as a practical solution. However, our findings reveal that federated learning has the risk of skewing fine-tuning features and compromising the out-of-distribution robustness of the model. By introducing three robustness indicators and conducting experiments across diverse robust datasets, we elucidate these phenomena by scrutinizing the diversity, transferability, and deviation within the model feature space. To mitigate the nega","authors_text":"Kai Xu, Mengyao Du, Miao Zhang, Quanjun Yin, Shouling Ji, Yuwen Pu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-25T09:18:51Z","title":"The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.14027","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":"sha256:2a86cf296a016d8b9ec6ac2eacd5708fc6243aeff69fb275ee392a164a24e6c9","target":"record","created_at":"2026-07-05T07:37:21Z","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":"162feb4a5bd4797ab54200f17e5e7407517e5eda24c8af0975805137e4a1df6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-25T09:18:51Z","title_canon_sha256":"9b01206a1afec10f9b5add4564befc705bc4da666a901c9873ba0dc173e231c0"},"schema_version":"1.0","source":{"id":"2401.14027","kind":"arxiv","version":1}},"canonical_sha256":"f080fa816ab3a5358cf6fa2dfa391a87040b05eea8a2fa32b3225d9627cb44c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f080fa816ab3a5358cf6fa2dfa391a87040b05eea8a2fa32b3225d9627cb44c3","first_computed_at":"2026-07-05T07:37:21.294993Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:37:21.294993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DlZn21GRoad2jgsXyP7KvqonfCoFuovLIs7q91H1tMngST5gafRBNxJuBCKDZKviB4ALXGkBEhVzPbGFPACXAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:37:21.295562Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.14027","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a86cf296a016d8b9ec6ac2eacd5708fc6243aeff69fb275ee392a164a24e6c9","sha256:506520f799e92308398847fc819e6789a959d37a3f670b176a0d8fa6d13b58da"],"state_sha256":"42123cede467641e60f893242203e9a92f59233e7abb52c8c7e51623cea37670"}