{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3NWGG3KE7NR33DGVRCGJ5Z2J74","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":"56a33a1e4c63f0a5f50984887726b7cefbe5219476adad8feaf4dbbf012ed82a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-15T16:23:19Z","title_canon_sha256":"6db6dd6ba7e7a284294e220edff47a69e11598e5a0c5f7e165adfbde638f04be"},"schema_version":"1.0","source":{"id":"2206.07631","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.07631","created_at":"2026-07-05T04:32:07Z"},{"alias_kind":"arxiv_version","alias_value":"2206.07631v1","created_at":"2026-07-05T04:32:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.07631","created_at":"2026-07-05T04:32:07Z"},{"alias_kind":"pith_short_12","alias_value":"3NWGG3KE7NR3","created_at":"2026-07-05T04:32:07Z"},{"alias_kind":"pith_short_16","alias_value":"3NWGG3KE7NR33DGV","created_at":"2026-07-05T04:32:07Z"},{"alias_kind":"pith_short_8","alias_value":"3NWGG3KE","created_at":"2026-07-05T04:32:07Z"}],"graph_snapshots":[{"event_id":"sha256:72eac3386aa53a9402cc1589df175dceb2067e415acb828bf77e41e524e93a89","target":"graph","created_at":"2026-07-05T04:32:07Z","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/2206.07631/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes using communication pipelining to enhance the wireless spectrum utilization efficiency and convergence speed of federated learning in mobile edge computing applications. Due to limited wireless sub-channels, a subset of the total clients is scheduled in each iteration of federated learning algorithms. On the other hand, the scheduled clients wait for the slowest client to finish its computation. We propose to first cluster the clients based on the time they need per iteration to compute the local gradients of the federated learning model. Then, we schedule a mixture of clie","authors_text":"Cihat Ke\\c{c}eci, Erchin Serpedin, Fawaz Al-Qahtani, Mohammad Shaqfeh, Muhammad Ismail","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-15T16:23:19Z","title":"Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.07631","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":"sha256:2a3ba39cbdcbb8d53a7277db6fe2c8b428206323073c6480c72ce1e564ac55fd","target":"record","created_at":"2026-07-05T04:32:07Z","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":"56a33a1e4c63f0a5f50984887726b7cefbe5219476adad8feaf4dbbf012ed82a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-15T16:23:19Z","title_canon_sha256":"6db6dd6ba7e7a284294e220edff47a69e11598e5a0c5f7e165adfbde638f04be"},"schema_version":"1.0","source":{"id":"2206.07631","kind":"arxiv","version":1}},"canonical_sha256":"db6c636d44fb63bd8cd5888c9ee749ff06dd4edc70187dc8c30f574d05af1ca0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db6c636d44fb63bd8cd5888c9ee749ff06dd4edc70187dc8c30f574d05af1ca0","first_computed_at":"2026-07-05T04:32:07.103412Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:32:07.103412Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6uUJPkNKOAMD2q+wWDz+IlLoQZZ5o5soA4OAIEc9lbdkaC3FAQSy4bXBjlSau7K34NEIVDlBBiZ73uutPJoNCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:32:07.103902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.07631","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a3ba39cbdcbb8d53a7277db6fe2c8b428206323073c6480c72ce1e564ac55fd","sha256:72eac3386aa53a9402cc1589df175dceb2067e415acb828bf77e41e524e93a89"],"state_sha256":"c62943347ab39ebc44f2b6da78b32a4b0f5cbc8803d6deca965bf61a0c700a39"}