{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ZUFVBYORAMMQKOORZY6P2H7Q63","short_pith_number":"pith:ZUFVBYOR","canonical_record":{"source":{"id":"2007.03797","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-07T21:38:36Z","cross_cats_sorted":["cs.DC","stat.ML"],"title_canon_sha256":"567cf2a084e3ea6fe00ebbc1b97bba28e746451dd43a9570e1b6225d0f989dda","abstract_canon_sha256":"5658c76acdad0faaafd897964f847176a589de8e9339124d5704b9215f4774f3"},"schema_version":"1.0"},"canonical_sha256":"cd0b50e1d103190539d1ce3cfd1ff0f6ce8fc8caed53de3961433f5f9a21a352","source":{"kind":"arxiv","id":"2007.03797","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.03797","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"arxiv_version","alias_value":"2007.03797v5","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.03797","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"pith_short_12","alias_value":"ZUFVBYORAMMQ","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"pith_short_16","alias_value":"ZUFVBYORAMMQKOOR","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"pith_short_8","alias_value":"ZUFVBYOR","created_at":"2026-07-05T03:40:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ZUFVBYORAMMQKOORZY6P2H7Q63","target":"record","payload":{"canonical_record":{"source":{"id":"2007.03797","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-07T21:38:36Z","cross_cats_sorted":["cs.DC","stat.ML"],"title_canon_sha256":"567cf2a084e3ea6fe00ebbc1b97bba28e746451dd43a9570e1b6225d0f989dda","abstract_canon_sha256":"5658c76acdad0faaafd897964f847176a589de8e9339124d5704b9215f4774f3"},"schema_version":"1.0"},"canonical_sha256":"cd0b50e1d103190539d1ce3cfd1ff0f6ce8fc8caed53de3961433f5f9a21a352","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:40:18.307759Z","signature_b64":"iCnDvLGHvJjU0MGjWzgPHfRl8hsm2UYsIu+2JI6Yfc4OK42pNOqh5zXhOeC6QzuYwvrICVQqwh3Rxx7S0yaCDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd0b50e1d103190539d1ce3cfd1ff0f6ce8fc8caed53de3961433f5f9a21a352","last_reissued_at":"2026-07-05T03:40:18.307338Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:40:18.307338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.03797","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:40:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HUaGjNwlpHCFIXBGoWEpUkwLSPA5Ua2qa8xwjPXljYOdZfPnxbiNfKbVdkJpjCssG+RLx+p09g7sxIJocxXBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:29:21.899681Z"},"content_sha256":"54a237b3fbc597de6645a30fb81dcb05bbabd9aed19febad762dade0a557794c","schema_version":"1.0","event_id":"sha256:54a237b3fbc597de6645a30fb81dcb05bbabd9aed19febad762dade0a557794c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ZUFVBYORAMMQKOORZY6P2H7Q63","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Personalized Cross-Silo Federated Learning on Non-IID Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Jiangchuan Liu, Jian Pei, Lanjun Wang, Lingyang Chu, Yong Zhang, Yutao Huang, Zirui Zhou","submitted_at":"2020-07-07T21:38:36Z","abstract_excerpt":"Non-IID data present a tough challenge for federated learning. In this paper, we explore a novel idea of facilitating pairwise collaborations between clients with similar data. We propose FedAMP, a new method employing federated attentive message passing to facilitate similar clients to collaborate more. We establish the convergence of FedAMP for both convex and non-convex models, and propose a heuristic method to further improve the performance of FedAMP when clients adopt deep neural networks as personalized models. Our extensive experiments on benchmark data sets demonstrate the superior pe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.03797","kind":"arxiv","version":5},"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/2007.03797/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":"2026-07-05T03:40:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GDzDi6TSiCu1ejfvwsPc35ILdZCN8CRLV6F8JNoGvAwFhsuFzst9Cke0DyPxPFEtf4moKI0OtJaax5pVQcUlCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:29:21.899963Z"},"content_sha256":"80bbca42367cc15cf2cc1d300dd4a2e17005b5be0ca2531b7e2c53131e52ef51","schema_version":"1.0","event_id":"sha256:80bbca42367cc15cf2cc1d300dd4a2e17005b5be0ca2531b7e2c53131e52ef51"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZUFVBYORAMMQKOORZY6P2H7Q63/bundle.json","state_url":"https://pith.science/pith/ZUFVBYORAMMQKOORZY6P2H7Q63/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZUFVBYORAMMQKOORZY6P2H7Q63/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":"2026-07-31T16:29:21Z","links":{"resolver":"https://pith.science/pith/ZUFVBYORAMMQKOORZY6P2H7Q63","bundle":"https://pith.science/pith/ZUFVBYORAMMQKOORZY6P2H7Q63/bundle.json","state":"https://pith.science/pith/ZUFVBYORAMMQKOORZY6P2H7Q63/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZUFVBYORAMMQKOORZY6P2H7Q63/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZUFVBYORAMMQKOORZY6P2H7Q63","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":"5658c76acdad0faaafd897964f847176a589de8e9339124d5704b9215f4774f3","cross_cats_sorted":["cs.DC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-07T21:38:36Z","title_canon_sha256":"567cf2a084e3ea6fe00ebbc1b97bba28e746451dd43a9570e1b6225d0f989dda"},"schema_version":"1.0","source":{"id":"2007.03797","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.03797","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"arxiv_version","alias_value":"2007.03797v5","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.03797","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"pith_short_12","alias_value":"ZUFVBYORAMMQ","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"pith_short_16","alias_value":"ZUFVBYORAMMQKOOR","created_at":"2026-07-05T03:40:18Z"},{"alias_kind":"pith_short_8","alias_value":"ZUFVBYOR","created_at":"2026-07-05T03:40:18Z"}],"graph_snapshots":[{"event_id":"sha256:80bbca42367cc15cf2cc1d300dd4a2e17005b5be0ca2531b7e2c53131e52ef51","target":"graph","created_at":"2026-07-05T03:40:18Z","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/2007.03797/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Non-IID data present a tough challenge for federated learning. In this paper, we explore a novel idea of facilitating pairwise collaborations between clients with similar data. We propose FedAMP, a new method employing federated attentive message passing to facilitate similar clients to collaborate more. We establish the convergence of FedAMP for both convex and non-convex models, and propose a heuristic method to further improve the performance of FedAMP when clients adopt deep neural networks as personalized models. Our extensive experiments on benchmark data sets demonstrate the superior pe","authors_text":"Jiangchuan Liu, Jian Pei, Lanjun Wang, Lingyang Chu, Yong Zhang, Yutao Huang, Zirui Zhou","cross_cats":["cs.DC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-07T21:38:36Z","title":"Personalized Cross-Silo Federated Learning on Non-IID Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.03797","kind":"arxiv","version":5},"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":"sha256:54a237b3fbc597de6645a30fb81dcb05bbabd9aed19febad762dade0a557794c","target":"record","created_at":"2026-07-05T03:40:18Z","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":"5658c76acdad0faaafd897964f847176a589de8e9339124d5704b9215f4774f3","cross_cats_sorted":["cs.DC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-07T21:38:36Z","title_canon_sha256":"567cf2a084e3ea6fe00ebbc1b97bba28e746451dd43a9570e1b6225d0f989dda"},"schema_version":"1.0","source":{"id":"2007.03797","kind":"arxiv","version":5}},"canonical_sha256":"cd0b50e1d103190539d1ce3cfd1ff0f6ce8fc8caed53de3961433f5f9a21a352","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd0b50e1d103190539d1ce3cfd1ff0f6ce8fc8caed53de3961433f5f9a21a352","first_computed_at":"2026-07-05T03:40:18.307338Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:40:18.307338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iCnDvLGHvJjU0MGjWzgPHfRl8hsm2UYsIu+2JI6Yfc4OK42pNOqh5zXhOeC6QzuYwvrICVQqwh3Rxx7S0yaCDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:40:18.307759Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.03797","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54a237b3fbc597de6645a30fb81dcb05bbabd9aed19febad762dade0a557794c","sha256:80bbca42367cc15cf2cc1d300dd4a2e17005b5be0ca2531b7e2c53131e52ef51"],"state_sha256":"30521652e32572e550734204eea703f8fa20985cff690862361f19a2e4c2fead"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"naX01ELj+oWu8MPGH4VILLQIKhPi5WJCCXggBj9PdXx4SBR6qgJWcfaY/7hfTO4yYo5YA7u7T4pLB+GIjG0PBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T16:29:21.903149Z","bundle_sha256":"c0d2a3947d84f0eb1e63df852c15ab2da27b46d9993e4829107c78284b350729"}}