{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:P2AELZ6MG2ONWGIMQB2RHQQKHM","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":"ff5616d6252769480b60a6125f6b2b0f4355b5b2bb2fe7766af523a8770d60e8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-20T22:37:33Z","title_canon_sha256":"2b38c24842e795d9cbdebfdf35f8adbcfad25dbebc84cc904c7cf284e1056919"},"schema_version":"1.0","source":{"id":"2205.10454","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.10454","created_at":"2026-07-05T04:49:11Z"},{"alias_kind":"arxiv_version","alias_value":"2205.10454v2","created_at":"2026-07-05T04:49:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.10454","created_at":"2026-07-05T04:49:11Z"},{"alias_kind":"pith_short_12","alias_value":"P2AELZ6MG2ON","created_at":"2026-07-05T04:49:11Z"},{"alias_kind":"pith_short_16","alias_value":"P2AELZ6MG2ONWGIM","created_at":"2026-07-05T04:49:11Z"},{"alias_kind":"pith_short_8","alias_value":"P2AELZ6M","created_at":"2026-07-05T04:49:11Z"}],"graph_snapshots":[{"event_id":"sha256:5587220af30f0a520f37e3f8e7dd2b969a6ce2df627f4a7ec6e8593ea04f8c78","target":"graph","created_at":"2026-07-05T04:49:11Z","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/2205.10454/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) enables data owners to train a shared global model without sharing their private data. Unfortunately, FL is susceptible to an intrinsic fairness issue: due to heterogeneity in clients' data distributions, the final trained model can give disproportionate advantages across the participating clients. In this work, we present Equal and Equitable Federated Learning (E2FL) to produce fair federated learning models by preserving two main fairness properties, equity and equality, concurrently. We validate the efficiency and fairness of E2FL in different real-world FL applicati","authors_text":"Amir Houmansadr, Hamid Mozaffari","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-20T22:37:33Z","title":"E2FL: Equal and Equitable Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.10454","kind":"arxiv","version":2},"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":"sha256:494c7b3532e4b2cdfbebbbef82ac0cc0764b51fa095230006f05fd9c87ebb626","target":"record","created_at":"2026-07-05T04:49:11Z","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":"ff5616d6252769480b60a6125f6b2b0f4355b5b2bb2fe7766af523a8770d60e8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-05-20T22:37:33Z","title_canon_sha256":"2b38c24842e795d9cbdebfdf35f8adbcfad25dbebc84cc904c7cf284e1056919"},"schema_version":"1.0","source":{"id":"2205.10454","kind":"arxiv","version":2}},"canonical_sha256":"7e8045e7cc369cdb190c807513c20a3b20c9430bb15d7ae4cf951f88386d7c6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e8045e7cc369cdb190c807513c20a3b20c9430bb15d7ae4cf951f88386d7c6c","first_computed_at":"2026-07-05T04:49:11.593668Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:49:11.593668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"STCa6yVPF7PANb96IOIdOGJC60P9D8JGsEQUkpelTQMS+VWblLyAROVMnlrY9Yx2awUpoupqbr0q/1ZI/fTOCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:49:11.594043Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.10454","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:494c7b3532e4b2cdfbebbbef82ac0cc0764b51fa095230006f05fd9c87ebb626","sha256:5587220af30f0a520f37e3f8e7dd2b969a6ce2df627f4a7ec6e8593ea04f8c78"],"state_sha256":"d6bd3423afab8b88606bd6d03f5dbcba83212afe9d4540e425ee494336edc634"}