{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4GI7RKOI3CYFQVFLDAT7TTBAOY","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":"2a28a4e8069d203afe32268e61a941bd7fc3844be0e9139c824fe97565d1f349","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-01-05T13:35:35Z","title_canon_sha256":"42cd436e2c16b70a507d0a4ea99f15c6f2576002909d144ef760b4088bce8ae7"},"schema_version":"1.0","source":{"id":"2201.01601","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.01601","created_at":"2026-07-05T04:26:35Z"},{"alias_kind":"arxiv_version","alias_value":"2201.01601v2","created_at":"2026-07-05T04:26:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.01601","created_at":"2026-07-05T04:26:35Z"},{"alias_kind":"pith_short_12","alias_value":"4GI7RKOI3CYF","created_at":"2026-07-05T04:26:35Z"},{"alias_kind":"pith_short_16","alias_value":"4GI7RKOI3CYFQVFL","created_at":"2026-07-05T04:26:35Z"},{"alias_kind":"pith_short_8","alias_value":"4GI7RKOI","created_at":"2026-07-05T04:26:35Z"}],"graph_snapshots":[{"event_id":"sha256:162d3ffc9e6b651a0fa96868064811900faec20878364842d67867809351ffe4","target":"graph","created_at":"2026-07-05T04:26:35Z","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/2201.01601/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) trains a machine learning model on distributed clients without exposing individual data. Unlike centralized training that is usually based on carefully-organized data, FL deals with on-device data that are often unfiltered and imbalanced. As a result, conventional FL training protocol that treats all data equally leads to a waste of local computational resources and slows down the global learning process. To this end, we propose FedBalancer, a systematic FL framework that actively selects clients' training samples. Our sample selection strategy prioritizes more \"informa","authors_text":"Jaemin Shin, Sung-Ju Lee, Yuanchun Li, Yunxin Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-01-05T13:35:35Z","title":"FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.01601","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:e506247ba1b985888c74501899634d1e30883e950ddf43471ea3be4f27210000","target":"record","created_at":"2026-07-05T04:26:35Z","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":"2a28a4e8069d203afe32268e61a941bd7fc3844be0e9139c824fe97565d1f349","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-01-05T13:35:35Z","title_canon_sha256":"42cd436e2c16b70a507d0a4ea99f15c6f2576002909d144ef760b4088bce8ae7"},"schema_version":"1.0","source":{"id":"2201.01601","kind":"arxiv","version":2}},"canonical_sha256":"e191f8a9c8d8b05854ab1827f9cc20760fd067997dd7c5366bbe4985fa6f30b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e191f8a9c8d8b05854ab1827f9cc20760fd067997dd7c5366bbe4985fa6f30b1","first_computed_at":"2026-07-05T04:26:35.214708Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:26:35.214708Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mzL/W1hoQ12nZWzuM0KRWq2U3uITYKWXeHKp1bf66wIagQDqBZkpTWjFT+46ONex+fxuC0zqY3HHKoW5RfBHBg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:26:35.215304Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.01601","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e506247ba1b985888c74501899634d1e30883e950ddf43471ea3be4f27210000","sha256:162d3ffc9e6b651a0fa96868064811900faec20878364842d67867809351ffe4"],"state_sha256":"47988a546aaeff2d82c571e48233e9367540cc11448fd579f36d02f2b6704c48"}