{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GWP3D2LTLDY2TPEB4MY5KHNGBI","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":"9490226ec0640e9d28c4980f6690b7836239c4c3dd0c6e7a4c1fad6b6b974b16","cross_cats_sorted":["cs.CC","cs.CR","cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-20T14:58:56Z","title_canon_sha256":"219ecd915d9e83e027c349457418c4a116fe9cd09ad9ed2bf01d236512b9fbe1"},"schema_version":"1.0","source":{"id":"2311.11822","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11822","created_at":"2026-07-05T07:14:39Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11822v1","created_at":"2026-07-05T07:14:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11822","created_at":"2026-07-05T07:14:39Z"},{"alias_kind":"pith_short_12","alias_value":"GWP3D2LTLDY2","created_at":"2026-07-05T07:14:39Z"},{"alias_kind":"pith_short_16","alias_value":"GWP3D2LTLDY2TPEB","created_at":"2026-07-05T07:14:39Z"},{"alias_kind":"pith_short_8","alias_value":"GWP3D2LT","created_at":"2026-07-05T07:14:39Z"}],"graph_snapshots":[{"event_id":"sha256:e8ec904eac1cc3604e87112c1e148530b5bfcae26f2f5411c1d2262153603554","target":"graph","created_at":"2026-07-05T07:14:39Z","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/2311.11822/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning using large models have achieved great success in a wide range of domains. However, training these models on billions of parameters is very challenging in terms of the training speed, memory cost, and communication efficiency, especially under the privacy-preserving regime with differential privacy (DP). On the one hand, DP optimization has comparable efficiency to the standard non-private optimization on a single GPU, but on multiple GPUs, existing DP distributed learning (such as pipeline parallel) has suffered from significantly worse efficiency. On the other hand, the Zero Re","authors_text":"George Karypis, Justin Chiu, Ruixuan Liu, Sheng Zha, Zhiqi Bu","cross_cats":["cs.CC","cs.CR","cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-20T14:58:56Z","title":"Zero redundancy distributed learning with differential privacy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11822","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:b9b80b976838ae9186ea1e85e63f8ae1374c6b82cd94dbf2300ea999cd6a2472","target":"record","created_at":"2026-07-05T07:14:39Z","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":"9490226ec0640e9d28c4980f6690b7836239c4c3dd0c6e7a4c1fad6b6b974b16","cross_cats_sorted":["cs.CC","cs.CR","cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-20T14:58:56Z","title_canon_sha256":"219ecd915d9e83e027c349457418c4a116fe9cd09ad9ed2bf01d236512b9fbe1"},"schema_version":"1.0","source":{"id":"2311.11822","kind":"arxiv","version":1}},"canonical_sha256":"359fb1e97358f1a9bc81e331d51da60a05a94cdbb6de70d89ee7201d98ed9373","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"359fb1e97358f1a9bc81e331d51da60a05a94cdbb6de70d89ee7201d98ed9373","first_computed_at":"2026-07-05T07:14:39.489206Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:14:39.489206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6BBlEHVb3dPBFKB7VToRGjrSzASvsUIoZ9jhbQ1capkkS9y1rSiqpyUMn89YIPgIZNl0S99C6QQLuxwUI7sfBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:14:39.489664Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.11822","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9b80b976838ae9186ea1e85e63f8ae1374c6b82cd94dbf2300ea999cd6a2472","sha256:e8ec904eac1cc3604e87112c1e148530b5bfcae26f2f5411c1d2262153603554"],"state_sha256":"9b5c79f83da30842b687e00d522a16b64d57d70ed5412c7a31d160ce864cca9e"}