{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CALLQWFQJW3O6CPU3W22VKBTAU","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":"d713eff6d0e51c2031416bf2ee7f2fd414d84919f2d69c5ae122407d8de7a8b9","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-29T07:20:59Z","title_canon_sha256":"aa7e480f92ffe526ab50dff5011e159a7762ed1556195ecfacae62091e5d78a7"},"schema_version":"1.0","source":{"id":"2210.16520","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.16520","created_at":"2026-07-05T05:11:47Z"},{"alias_kind":"arxiv_version","alias_value":"2210.16520v1","created_at":"2026-07-05T05:11:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.16520","created_at":"2026-07-05T05:11:47Z"},{"alias_kind":"pith_short_12","alias_value":"CALLQWFQJW3O","created_at":"2026-07-05T05:11:47Z"},{"alias_kind":"pith_short_16","alias_value":"CALLQWFQJW3O6CPU","created_at":"2026-07-05T05:11:47Z"},{"alias_kind":"pith_short_8","alias_value":"CALLQWFQ","created_at":"2026-07-05T05:11:47Z"}],"graph_snapshots":[{"event_id":"sha256:c6caccf161276070bd8a0a4e24c424791ed78eeb9b7c8c35aeb3094acaef43c0","target":"graph","created_at":"2026-07-05T05:11:47Z","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/2210.16520/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning (FL) aims at optimizing a shared global model over multiple edge devices without transmitting (private) data to the central server. While it is theoretically well-known that FL yields an optimal model -- centrally trained model assuming availability of all the edge device data at the central server -- under mild condition, in practice, it often requires massive amount of iterations until convergence, especially under presence of statistical/computational heterogeneity. This paper utilizes cyclic learning rate at the server side to reduce the number of training iterations wit","authors_text":"Joonhyuk Kang, Sangwoo Park, Youngjoon Lee","cross_cats":["eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-29T07:20:59Z","title":"Fast-Convergent Federated Learning via Cyclic Aggregation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.16520","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:cc3de7ec37024365b71ec33f1691b882256c253d3f7342f069fa8b2e7c182419","target":"record","created_at":"2026-07-05T05:11:47Z","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":"d713eff6d0e51c2031416bf2ee7f2fd414d84919f2d69c5ae122407d8de7a8b9","cross_cats_sorted":["eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-29T07:20:59Z","title_canon_sha256":"aa7e480f92ffe526ab50dff5011e159a7762ed1556195ecfacae62091e5d78a7"},"schema_version":"1.0","source":{"id":"2210.16520","kind":"arxiv","version":1}},"canonical_sha256":"1016b858b04db6ef09f4ddb5aaa8330525b4bbed4dd37b78ef6cdf1b5605732b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1016b858b04db6ef09f4ddb5aaa8330525b4bbed4dd37b78ef6cdf1b5605732b","first_computed_at":"2026-07-05T05:11:47.259838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:11:47.259838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"waFiM8BTNPqOGkWa8nXLcc9LV3e3bk7xNYZRBX2MX+p5U2K8OxFBaDehuUgoJw6QzYiIzjE3jSFvRZ9bdy70BA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:11:47.260286Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.16520","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc3de7ec37024365b71ec33f1691b882256c253d3f7342f069fa8b2e7c182419","sha256:c6caccf161276070bd8a0a4e24c424791ed78eeb9b7c8c35aeb3094acaef43c0"],"state_sha256":"8ab001c696c6bf5feaba56e4d0fa57e177378e01e0132bdb10e7261b64ecbc8c"}