{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3JJD6W7H4JN4R4OQOUIRRCG7AZ","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":"2b57d06579ce8298281d44f8c69451f53ca002abbf78ae4db259aa1f997d5f8a","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-17T02:13:18Z","title_canon_sha256":"4f4c66b1bebdeec19b511fdc9fec80b57f88c1750ea009c105d19ba0f2882977"},"schema_version":"1.0","source":{"id":"2305.09896","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09896","created_at":"2026-07-05T06:11:06Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09896v1","created_at":"2026-07-05T06:11:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09896","created_at":"2026-07-05T06:11:06Z"},{"alias_kind":"pith_short_12","alias_value":"3JJD6W7H4JN4","created_at":"2026-07-05T06:11:06Z"},{"alias_kind":"pith_short_16","alias_value":"3JJD6W7H4JN4R4OQ","created_at":"2026-07-05T06:11:06Z"},{"alias_kind":"pith_short_8","alias_value":"3JJD6W7H","created_at":"2026-07-05T06:11:06Z"}],"graph_snapshots":[{"event_id":"sha256:ed8e714379e6e2be3177fcb19d0a155ae78b7af650f641115e2c78c4952b4cfa","target":"graph","created_at":"2026-07-05T06:11:06Z","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/2305.09896/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Achieving communication efficiency in decentralized machine learning has been attracting significant attention, with communication compression recognized as an effective technique in algorithm design. This paper takes a first step to understand the role of gradient clipping, a popular strategy in practice, in decentralized nonconvex optimization with communication compression. We propose PORTER, which considers two variants of gradient clipping added before or after taking a mini-batch of stochastic gradients, where the former variant PORTER-DP allows local differential privacy analysis with a","authors_text":"Boyue Li, Yuejie Chi","cross_cats":["math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-17T02:13:18Z","title":"Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09896","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:efa53c26cff9dfd1c3e57d74ccb4b5e910f1b0323a7f081c790f82a9fc593300","target":"record","created_at":"2026-07-05T06:11:06Z","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":"2b57d06579ce8298281d44f8c69451f53ca002abbf78ae4db259aa1f997d5f8a","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-17T02:13:18Z","title_canon_sha256":"4f4c66b1bebdeec19b511fdc9fec80b57f88c1750ea009c105d19ba0f2882977"},"schema_version":"1.0","source":{"id":"2305.09896","kind":"arxiv","version":1}},"canonical_sha256":"da523f5be7e25bc8f1d075111888df067b93a8689db5e369615bc5b741668448","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da523f5be7e25bc8f1d075111888df067b93a8689db5e369615bc5b741668448","first_computed_at":"2026-07-05T06:11:06.999491Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:06.999491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mxQ78gaBfGTMJpT/KD/Q0AjIbAEBLMJVMQB3P4mQGVYrakJYPWzDgEgn+E4uGFrBmtCB9jDASpRF3M4gm+URBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:06.999901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.09896","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:efa53c26cff9dfd1c3e57d74ccb4b5e910f1b0323a7f081c790f82a9fc593300","sha256:ed8e714379e6e2be3177fcb19d0a155ae78b7af650f641115e2c78c4952b4cfa"],"state_sha256":"8393dce81317dbe390bc084676aaacd5422a1b0803df9ebc580db3325480b2da"}