{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:5FPGHFIHARRSUDGIWYAL3TL7DB","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":"332bdadc35f244d781324ebef39a0b7b5bc9f3da1803217ecc4808355edd32a4","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-14T09:54:00Z","title_canon_sha256":"35f619d434e55dffd60ab8b68d863e1523eefc0b9ff78387f3a5213cccce3774"},"schema_version":"1.0","source":{"id":"2107.06580","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.06580","created_at":"2026-07-05T02:57:59Z"},{"alias_kind":"arxiv_version","alias_value":"2107.06580v1","created_at":"2026-07-05T02:57:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.06580","created_at":"2026-07-05T02:57:59Z"},{"alias_kind":"pith_short_12","alias_value":"5FPGHFIHARRS","created_at":"2026-07-05T02:57:59Z"},{"alias_kind":"pith_short_16","alias_value":"5FPGHFIHARRSUDGI","created_at":"2026-07-05T02:57:59Z"},{"alias_kind":"pith_short_8","alias_value":"5FPGHFIH","created_at":"2026-07-05T02:57:59Z"}],"graph_snapshots":[{"event_id":"sha256:337f8bfb6e5b6fb5c43151428444e599b6296d8abd11bd465b6eb732f8f9b610","target":"graph","created_at":"2026-07-05T02:57:59Z","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/2107.06580/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, the ever-growing demand for privacy-oriented machine learning has motivated researchers to develop federated and decentralized learning techniques, allowing individual clients to train models collaboratively without disclosing their private datasets. However, widespread adoption has been limited in domains relying on high levels of user trust, where assessment of data compatibility is essential. In this work, we define and address low interoperability induced by underlying client data inconsistencies in federated learning for tabular data. The proposed method, iFedAvg, builds on fede","authors_text":"David Roschewitz, Luca Corinzia, Martin Jaggi, Mary-Anne Hartley","cross_cats":["cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-14T09:54:00Z","title":"IFedAvg: Interpretable Data-Interoperability for Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.06580","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:af5816f1a0edcad640d4bdd85354ab39f76579e359eff629218766d205fb2000","target":"record","created_at":"2026-07-05T02:57:59Z","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":"332bdadc35f244d781324ebef39a0b7b5bc9f3da1803217ecc4808355edd32a4","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-14T09:54:00Z","title_canon_sha256":"35f619d434e55dffd60ab8b68d863e1523eefc0b9ff78387f3a5213cccce3774"},"schema_version":"1.0","source":{"id":"2107.06580","kind":"arxiv","version":1}},"canonical_sha256":"e95e63950704632a0cc8b600bdcd7f187eed88bf2240fc4ec9f380c4f18aedb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e95e63950704632a0cc8b600bdcd7f187eed88bf2240fc4ec9f380c4f18aedb7","first_computed_at":"2026-07-05T02:57:59.570669Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:57:59.570669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QDYhys6fOwCI75sfLpnY6QGalArwofIUBSJArPeBEBlgcCLtv/vceMDrmZT0Qdx1nWHF4KxVfawz8geakJhTCg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:57:59.571043Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.06580","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af5816f1a0edcad640d4bdd85354ab39f76579e359eff629218766d205fb2000","sha256:337f8bfb6e5b6fb5c43151428444e599b6296d8abd11bd465b6eb732f8f9b610"],"state_sha256":"b1a92a40ad8479f8b92717d83c954232e54ed5e187e1636da374c2c04eb84d40"}