{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:O4UOO55RGZ5AYROXD3RTXO3MXF","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":"0a08cd689538f604bcfb82ed111682e7e4b25b537c611adb08e382fa7134b4b8","cross_cats_sorted":["cs.LG","eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2020-12-07T21:01:11Z","title_canon_sha256":"fdb79814e010651af849d1c549bdbd5e742042e170c12824ac42e4e7b3909aba"},"schema_version":"1.0","source":{"id":"2012.04057","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.04057","created_at":"2026-07-05T01:57:37Z"},{"alias_kind":"arxiv_version","alias_value":"2012.04057v1","created_at":"2026-07-05T01:57:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.04057","created_at":"2026-07-05T01:57:37Z"},{"alias_kind":"pith_short_12","alias_value":"O4UOO55RGZ5A","created_at":"2026-07-05T01:57:37Z"},{"alias_kind":"pith_short_16","alias_value":"O4UOO55RGZ5AYROX","created_at":"2026-07-05T01:57:37Z"},{"alias_kind":"pith_short_8","alias_value":"O4UOO55R","created_at":"2026-07-05T01:57:37Z"}],"graph_snapshots":[{"event_id":"sha256:c46f6ecda3743dde6770eea6f9a3ca9f1d3868ba0aafd8a320bb905f87b1a063","target":"graph","created_at":"2026-07-05T01:57:37Z","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/2012.04057/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Communication has been known to be one of the primary bottlenecks of federated learning (FL), and yet existing studies have not addressed the efficient communication design, particularly in wireless FL where both uplink and downlink communications have to be considered. In this paper, we focus on the design and analysis of physical layer quantization and transmission methods for wireless FL. We answer the question of what and how to communicate between clients and the parameter server and evaluate the impact of the various quantization and transmission options of the updated model on the learn","authors_text":"Cong Shen, Sihui Zheng, Xiang Chen","cross_cats":["cs.LG","eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2020-12-07T21:01:11Z","title":"Design and Analysis of Uplink and Downlink Communications for Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.04057","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":"sha256:10356e4b9cf583e63347e4b6b0a56625a02570bc4880104ff9d250a7978fe5d6","target":"record","created_at":"2026-07-05T01:57:37Z","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":"0a08cd689538f604bcfb82ed111682e7e4b25b537c611adb08e382fa7134b4b8","cross_cats_sorted":["cs.LG","eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2020-12-07T21:01:11Z","title_canon_sha256":"fdb79814e010651af849d1c549bdbd5e742042e170c12824ac42e4e7b3909aba"},"schema_version":"1.0","source":{"id":"2012.04057","kind":"arxiv","version":1}},"canonical_sha256":"7728e777b1367a0c45d71ee33bbb6cb9583ca6a77d1b89661d63ab0c101d2cb0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7728e777b1367a0c45d71ee33bbb6cb9583ca6a77d1b89661d63ab0c101d2cb0","first_computed_at":"2026-07-05T01:57:37.790098Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:57:37.790098Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3+xEC0RvfrnerQ54f8hkeRck+zHLU6++k2dL/kgBJSbAh5NtEf6O279YSifdDVp+glojZgmoEAvLx4WgrZkgBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:57:37.790569Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.04057","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10356e4b9cf583e63347e4b6b0a56625a02570bc4880104ff9d250a7978fe5d6","sha256:c46f6ecda3743dde6770eea6f9a3ca9f1d3868ba0aafd8a320bb905f87b1a063"],"state_sha256":"628941888c8a87798c98da93c0f340fc7b5e2724fc511df185c9ce4b4ab2a94f"}