{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3DAEZ47GGW2YWOXZ6SANSSSZRO","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":"6aecce93073f4963cc3641a19d82ae16d9cbb6e4b43612708ceccdd7df7915ff","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-09-27T08:58:40Z","title_canon_sha256":"fe3938cd2d17bab1428afead3c5d6ad71d56b61213669b5655f8ffc1a796bf4a"},"schema_version":"1.0","source":{"id":"1709.09393","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.09393","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"arxiv_version","alias_value":"1709.09393v1","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.09393","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"pith_short_12","alias_value":"3DAEZ47GGW2Y","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3DAEZ47GGW2YWOXZ","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3DAEZ47G","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:f1abc1805dd8768a9f06d205cc4aa0e5d51604fa58053e5906797ffada6142d1","target":"graph","created_at":"2026-05-18T00:34:11Z","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"},"paper":{"abstract_excerpt":"Data parallelism has emerged as a necessary technique to accelerate the training of deep neural networks (DNN). In a typical data parallelism approach, the local workers push the latest updates of all the parameters to the parameter server and pull all merged parameters back periodically. However, with the increasing size of DNN models and the large number of workers in practice, this typical data parallelism cannot achieve satisfactory training acceleration, since it usually suffers from the heavy communication cost due to transferring huge amount of information between workers and the parame","authors_text":"Jiang Bian, Shizhao Sun, Tie-Yan Liu, Wei Chen, Xiaoguang Liu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-09-27T08:58:40Z","title":"Slim-DP: A Light Communication Data Parallelism for DNN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.09393","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":"sha256:9cc82ffbd5d51e1d80a275bbb7c83501c1ce43a8d43b2744cb5556b359bb71b3","target":"record","created_at":"2026-05-18T00:34:11Z","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":"6aecce93073f4963cc3641a19d82ae16d9cbb6e4b43612708ceccdd7df7915ff","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-09-27T08:58:40Z","title_canon_sha256":"fe3938cd2d17bab1428afead3c5d6ad71d56b61213669b5655f8ffc1a796bf4a"},"schema_version":"1.0","source":{"id":"1709.09393","kind":"arxiv","version":1}},"canonical_sha256":"d8c04cf3e635b58b3af9f480d94a598bbea1b9615f195af95449b5665a49517f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8c04cf3e635b58b3af9f480d94a598bbea1b9615f195af95449b5665a49517f","first_computed_at":"2026-05-18T00:34:11.939748Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:11.939748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zw7NCHcweXlTSIo6z4GpQ9dZrDgAEV3UJqRumYF6oM74EsqSlePTdBK46hQ/1+cE/8Jt6sIp7ExWTy7u2mjGAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:11.940484Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.09393","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9cc82ffbd5d51e1d80a275bbb7c83501c1ce43a8d43b2744cb5556b359bb71b3","sha256:f1abc1805dd8768a9f06d205cc4aa0e5d51604fa58053e5906797ffada6142d1"],"state_sha256":"5b00682610b899eb3fdcc0643c704b4c2ede3805b728ebf82270a6c1d1c41ed2"}