{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:W7YFZPAMZAM3CJI3JSCVHCQYDM","short_pith_number":"pith:W7YFZPAM","canonical_record":{"source":{"id":"2605.21264","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T14:52:07Z","cross_cats_sorted":[],"title_canon_sha256":"397a20341ddce34b10f051f10ff99e7d5584dbd8d07ab73fbecdb60222e0bf50","abstract_canon_sha256":"75f6021c2098a9c73b00f5870c1bd596c93ba1b2150e8ddb6a88b3d6411efb32"},"schema_version":"1.0"},"canonical_sha256":"b7f05cbc0cc819b1251b4c85538a181b39f242b7d1595558a30e1cdc50690307","source":{"kind":"arxiv","id":"2605.21264","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21264","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21264v1","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21264","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"pith_short_12","alias_value":"W7YFZPAMZAM3","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"pith_short_16","alias_value":"W7YFZPAMZAM3CJI3","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"pith_short_8","alias_value":"W7YFZPAM","created_at":"2026-05-21T02:05:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:W7YFZPAMZAM3CJI3JSCVHCQYDM","target":"record","payload":{"canonical_record":{"source":{"id":"2605.21264","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T14:52:07Z","cross_cats_sorted":[],"title_canon_sha256":"397a20341ddce34b10f051f10ff99e7d5584dbd8d07ab73fbecdb60222e0bf50","abstract_canon_sha256":"75f6021c2098a9c73b00f5870c1bd596c93ba1b2150e8ddb6a88b3d6411efb32"},"schema_version":"1.0"},"canonical_sha256":"b7f05cbc0cc819b1251b4c85538a181b39f242b7d1595558a30e1cdc50690307","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T02:05:25.666966Z","signature_b64":"MMAerS9gzVQqt7oUcljfnbC8e8T1xsyUo4r6PzUT7Uh1kCDIF2RMWyZJ/e7UgNvZ206cBHMq5jk6njurGMzOCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7f05cbc0cc819b1251b4c85538a181b39f242b7d1595558a30e1cdc50690307","last_reissued_at":"2026-05-21T02:05:25.666109Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T02:05:25.666109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.21264","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-21T02:05:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IWqJSTPEt+3J6meJxShuOdJqXbMbR0RAWy2APwL/57LlbZ8PtvaEmFoAroHI0ktuF9vDZSx7GUKmFwu4rnCvBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T18:39:56.732379Z"},"content_sha256":"d1feeaf282a638c34f57b72d6d958a1154a6143e888b3d64708b152130d3f565","schema_version":"1.0","event_id":"sha256:d1feeaf282a638c34f57b72d6d958a1154a6143e888b3d64708b152130d3f565"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:W7YFZPAMZAM3CJI3JSCVHCQYDM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Fulian Li, Junhua Wang, Lixin Duan, Penglin Dai, Xiao Wu, Xincao Xu","submitted_at":"2026-05-20T14:52:07Z","abstract_excerpt":"Federated Learning (FL) has emerged as a promising paradigm for privacy-preserving distributed learning. However, existing FL methods face a fundamental challenge. Traditional averaging-based approaches suffer from parameter divergence under non-IID conditions, while personalized FL methods overfit to local data and fail to generalize to new clients (cold-start problem). Mixture-of-Experts naturally addresses this by routing heterogeneous data to specialized experts rather than forcing uniform aggregation. In this paper, we propose FedCoE, a Federated Coordinated dual-level mixture-of-Experts "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21264","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.21264/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-21T02:05:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vTsJITYMnkIqRN91D65DpnUhi9Zd2d7xkAdXj00ZVLp81EenleaLhjwTiuZAVvHwjV+GokdtW3KgqEaD3PH8DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T18:39:56.733105Z"},"content_sha256":"f5f798f565ac98043b60254c87f8c48d53a0be537c71c5b9b30eb49851d8bcc3","schema_version":"1.0","event_id":"sha256:f5f798f565ac98043b60254c87f8c48d53a0be537c71c5b9b30eb49851d8bcc3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W7YFZPAMZAM3CJI3JSCVHCQYDM/bundle.json","state_url":"https://pith.science/pith/W7YFZPAMZAM3CJI3JSCVHCQYDM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W7YFZPAMZAM3CJI3JSCVHCQYDM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T18:39:56Z","links":{"resolver":"https://pith.science/pith/W7YFZPAMZAM3CJI3JSCVHCQYDM","bundle":"https://pith.science/pith/W7YFZPAMZAM3CJI3JSCVHCQYDM/bundle.json","state":"https://pith.science/pith/W7YFZPAMZAM3CJI3JSCVHCQYDM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W7YFZPAMZAM3CJI3JSCVHCQYDM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:W7YFZPAMZAM3CJI3JSCVHCQYDM","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":"75f6021c2098a9c73b00f5870c1bd596c93ba1b2150e8ddb6a88b3d6411efb32","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T14:52:07Z","title_canon_sha256":"397a20341ddce34b10f051f10ff99e7d5584dbd8d07ab73fbecdb60222e0bf50"},"schema_version":"1.0","source":{"id":"2605.21264","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21264","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21264v1","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21264","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"pith_short_12","alias_value":"W7YFZPAMZAM3","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"pith_short_16","alias_value":"W7YFZPAMZAM3CJI3","created_at":"2026-05-21T02:05:25Z"},{"alias_kind":"pith_short_8","alias_value":"W7YFZPAM","created_at":"2026-05-21T02:05:25Z"}],"graph_snapshots":[{"event_id":"sha256:f5f798f565ac98043b60254c87f8c48d53a0be537c71c5b9b30eb49851d8bcc3","target":"graph","created_at":"2026-05-21T02:05:25Z","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/2605.21264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) has emerged as a promising paradigm for privacy-preserving distributed learning. However, existing FL methods face a fundamental challenge. Traditional averaging-based approaches suffer from parameter divergence under non-IID conditions, while personalized FL methods overfit to local data and fail to generalize to new clients (cold-start problem). Mixture-of-Experts naturally addresses this by routing heterogeneous data to specialized experts rather than forcing uniform aggregation. In this paper, we propose FedCoE, a Federated Coordinated dual-level mixture-of-Experts ","authors_text":"Fulian Li, Junhua Wang, Lixin Duan, Penglin Dai, Xiao Wu, Xincao Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T14:52:07Z","title":"FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21264","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:d1feeaf282a638c34f57b72d6d958a1154a6143e888b3d64708b152130d3f565","target":"record","created_at":"2026-05-21T02:05:25Z","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":"75f6021c2098a9c73b00f5870c1bd596c93ba1b2150e8ddb6a88b3d6411efb32","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T14:52:07Z","title_canon_sha256":"397a20341ddce34b10f051f10ff99e7d5584dbd8d07ab73fbecdb60222e0bf50"},"schema_version":"1.0","source":{"id":"2605.21264","kind":"arxiv","version":1}},"canonical_sha256":"b7f05cbc0cc819b1251b4c85538a181b39f242b7d1595558a30e1cdc50690307","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7f05cbc0cc819b1251b4c85538a181b39f242b7d1595558a30e1cdc50690307","first_computed_at":"2026-05-21T02:05:25.666109Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T02:05:25.666109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MMAerS9gzVQqt7oUcljfnbC8e8T1xsyUo4r6PzUT7Uh1kCDIF2RMWyZJ/e7UgNvZ206cBHMq5jk6njurGMzOCw==","signature_status":"signed_v1","signed_at":"2026-05-21T02:05:25.666966Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.21264","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1feeaf282a638c34f57b72d6d958a1154a6143e888b3d64708b152130d3f565","sha256:f5f798f565ac98043b60254c87f8c48d53a0be537c71c5b9b30eb49851d8bcc3"],"state_sha256":"d8d3cd1c74abce1d048967277112db5a1e910b52deb756e09c4ff24be5873708"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n/6zzxo0z2YH/R1xJyO/CpuKJhGxV8xtZY4h0Y51+2gJ2giQ+iNYiN+R5Bj67ObfYt1HZf1SLh8GVIsim18bBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T18:39:56.736635Z","bundle_sha256":"d72c29f339a29757f46f796862b1a6dada4f299bce7c1bd29fafd57a25796be5"}}