{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:V3UAV377RHZDU4QRHEFZSK76IN","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":"54db4680787badfac445612bfb6acda2cd194db1725e77b48c0642672c78ef88","cross_cats_sorted":["cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-08T15:48:53Z","title_canon_sha256":"034f004f994dc67e2c26f1f4469bc51c12a861238f1b2ef0f494225c6d239bb6"},"schema_version":"1.0","source":{"id":"2305.04792","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.04792","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"arxiv_version","alias_value":"2305.04792v1","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.04792","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"pith_short_12","alias_value":"V3UAV377RHZD","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"pith_short_16","alias_value":"V3UAV377RHZDU4QR","created_at":"2026-07-05T06:07:53Z"},{"alias_kind":"pith_short_8","alias_value":"V3UAV377","created_at":"2026-07-05T06:07:53Z"}],"graph_snapshots":[{"event_id":"sha256:2ca5bb13981d28c5504dc58af04f2710f486cac17c409ecda7381986906bc8c5","target":"graph","created_at":"2026-07-05T06:07:53Z","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/2305.04792/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Decentralized learning enables the training of deep learning models over large distributed datasets generated at different locations, without the need for a central server. However, in practical scenarios, the data distribution across these devices can be significantly different, leading to a degradation in model performance. In this paper, we focus on designing a decentralized learning algorithm that is less susceptible to variations in data distribution across devices. We propose Global Update Tracking (GUT), a novel tracking-based method that aims to mitigate the impact of heterogeneous dat","authors_text":"Abolfazl Hashemi, Kaushik Roy, Sai Aparna Aketi","cross_cats":["cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-08T15:48:53Z","title":"Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.04792","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":"sha256:2f5fbed2e988961b7f2c5ebaff96494e0f78f83cdfe4f31260a198c84aa6d580","target":"record","created_at":"2026-07-05T06:07:53Z","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":"54db4680787badfac445612bfb6acda2cd194db1725e77b48c0642672c78ef88","cross_cats_sorted":["cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-08T15:48:53Z","title_canon_sha256":"034f004f994dc67e2c26f1f4469bc51c12a861238f1b2ef0f494225c6d239bb6"},"schema_version":"1.0","source":{"id":"2305.04792","kind":"arxiv","version":1}},"canonical_sha256":"aee80aefff89f23a7211390b992bfe43773eefc9cbddc5c995ba6da98ace954f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aee80aefff89f23a7211390b992bfe43773eefc9cbddc5c995ba6da98ace954f","first_computed_at":"2026-07-05T06:07:53.965105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:07:53.965105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Arjs8fnYUwgCbZ/vz5vE1EqQV5MPSAFGzueLa2XkdjrdCwLaCACSdo6p1IBNZbPELNihDxUv31lsEaazYcdVAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:07:53.965535Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.04792","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f5fbed2e988961b7f2c5ebaff96494e0f78f83cdfe4f31260a198c84aa6d580","sha256:2ca5bb13981d28c5504dc58af04f2710f486cac17c409ecda7381986906bc8c5"],"state_sha256":"1e1fa44f06006e6413a1d094361a20abe19ce6578efa265fdbb04ac491411fa9"}