{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LHWT7EKVJGFXEIM5JRTSL7UHYB","short_pith_number":"pith:LHWT7EKV","canonical_record":{"source":{"id":"2303.04622","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-08T14:40:15Z","cross_cats_sorted":["cs.LG","math.OC"],"title_canon_sha256":"8da72fd09449b96ecda921754213b12c9d8b543ef8d04ca0a9df0a88b6e4bdc5","abstract_canon_sha256":"cf92d258fd6562f09931e2b6fd212cc4262aa13f6d34132179ef43a31d6bebb5"},"schema_version":"1.0"},"canonical_sha256":"59ed3f9155498b72219d4c6725fe87c058cda9ade8b3a73144d865c255109eb1","source":{"kind":"arxiv","id":"2303.04622","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.04622","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"arxiv_version","alias_value":"2303.04622v1","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.04622","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"pith_short_12","alias_value":"LHWT7EKVJGFX","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"pith_short_16","alias_value":"LHWT7EKVJGFXEIM5","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"pith_short_8","alias_value":"LHWT7EKV","created_at":"2026-07-05T05:49:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LHWT7EKVJGFXEIM5JRTSL7UHYB","target":"record","payload":{"canonical_record":{"source":{"id":"2303.04622","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-08T14:40:15Z","cross_cats_sorted":["cs.LG","math.OC"],"title_canon_sha256":"8da72fd09449b96ecda921754213b12c9d8b543ef8d04ca0a9df0a88b6e4bdc5","abstract_canon_sha256":"cf92d258fd6562f09931e2b6fd212cc4262aa13f6d34132179ef43a31d6bebb5"},"schema_version":"1.0"},"canonical_sha256":"59ed3f9155498b72219d4c6725fe87c058cda9ade8b3a73144d865c255109eb1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:49:23.477228Z","signature_b64":"/cOz3gkt8QEVdsHRdCY44R3DiMK26xRJZPTIBQ2W7D4+ARixiVucf+od03jaffntleMVpPHk04S1NolEK2XwBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59ed3f9155498b72219d4c6725fe87c058cda9ade8b3a73144d865c255109eb1","last_reissued_at":"2026-07-05T05:49:23.476781Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:49:23.476781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.04622","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":"2026-07-05T05:49:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TKu3h+OgY+PKvUUgrk3AJbcBuzATzSt6HamCUU4fsW9AbitCq/fDs/LqSqtpHGrPlHDaQRKTM+O3Am8RKpT0DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:22:34.108040Z"},"content_sha256":"501417452897d265bf64024b48f407acbc2f490fde9ed0d709b61a2ae11420bd","schema_version":"1.0","event_id":"sha256:501417452897d265bf64024b48f407acbc2f490fde9ed0d709b61a2ae11420bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LHWT7EKVJGFXEIM5JRTSL7UHYB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","math.OC"],"primary_cat":"stat.ML","authors_text":"Avetik Karagulyan, Peter Richt\\'arik","submitted_at":"2023-03-08T14:40:15Z","abstract_excerpt":"Federated sampling algorithms have recently gained great popularity in the community of machine learning and statistics. This paper studies variants of such algorithms called Error Feedback Langevin algorithms (ELF). In particular, we analyze the combinations of EF21 and EF21-P with the federated Langevin Monte-Carlo. We propose three algorithms: P-ELF, D-ELF, and B-ELF that use, respectively, primal, dual, and bidirectional compressors. We analyze the proposed methods under Log-Sobolev inequality and provide non-asymptotic convergence guarantees."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.04622","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/2303.04622/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":"2026-07-05T05:49:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AtfDq1v+mhNiQswnoeF90LHP7iyvSGd0WlA08rw5n+JwPjXgTNjb7j47AuFnLbD+UxUiM169FgrBqzTqt9B4AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:22:34.108930Z"},"content_sha256":"acfd087e898dcaae48850b1c412d6e6950bfbf187373cb8c91752accdfd287f4","schema_version":"1.0","event_id":"sha256:acfd087e898dcaae48850b1c412d6e6950bfbf187373cb8c91752accdfd287f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LHWT7EKVJGFXEIM5JRTSL7UHYB/bundle.json","state_url":"https://pith.science/pith/LHWT7EKVJGFXEIM5JRTSL7UHYB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LHWT7EKVJGFXEIM5JRTSL7UHYB/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":"2026-08-05T03:22:34Z","links":{"resolver":"https://pith.science/pith/LHWT7EKVJGFXEIM5JRTSL7UHYB","bundle":"https://pith.science/pith/LHWT7EKVJGFXEIM5JRTSL7UHYB/bundle.json","state":"https://pith.science/pith/LHWT7EKVJGFXEIM5JRTSL7UHYB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LHWT7EKVJGFXEIM5JRTSL7UHYB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LHWT7EKVJGFXEIM5JRTSL7UHYB","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":"cf92d258fd6562f09931e2b6fd212cc4262aa13f6d34132179ef43a31d6bebb5","cross_cats_sorted":["cs.LG","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-08T14:40:15Z","title_canon_sha256":"8da72fd09449b96ecda921754213b12c9d8b543ef8d04ca0a9df0a88b6e4bdc5"},"schema_version":"1.0","source":{"id":"2303.04622","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.04622","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"arxiv_version","alias_value":"2303.04622v1","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.04622","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"pith_short_12","alias_value":"LHWT7EKVJGFX","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"pith_short_16","alias_value":"LHWT7EKVJGFXEIM5","created_at":"2026-07-05T05:49:23Z"},{"alias_kind":"pith_short_8","alias_value":"LHWT7EKV","created_at":"2026-07-05T05:49:23Z"}],"graph_snapshots":[{"event_id":"sha256:acfd087e898dcaae48850b1c412d6e6950bfbf187373cb8c91752accdfd287f4","target":"graph","created_at":"2026-07-05T05:49:23Z","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/2303.04622/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated sampling algorithms have recently gained great popularity in the community of machine learning and statistics. This paper studies variants of such algorithms called Error Feedback Langevin algorithms (ELF). In particular, we analyze the combinations of EF21 and EF21-P with the federated Langevin Monte-Carlo. We propose three algorithms: P-ELF, D-ELF, and B-ELF that use, respectively, primal, dual, and bidirectional compressors. We analyze the proposed methods under Log-Sobolev inequality and provide non-asymptotic convergence guarantees.","authors_text":"Avetik Karagulyan, Peter Richt\\'arik","cross_cats":["cs.LG","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-08T14:40:15Z","title":"ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.04622","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":"sha256:501417452897d265bf64024b48f407acbc2f490fde9ed0d709b61a2ae11420bd","target":"record","created_at":"2026-07-05T05:49:23Z","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":"cf92d258fd6562f09931e2b6fd212cc4262aa13f6d34132179ef43a31d6bebb5","cross_cats_sorted":["cs.LG","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2023-03-08T14:40:15Z","title_canon_sha256":"8da72fd09449b96ecda921754213b12c9d8b543ef8d04ca0a9df0a88b6e4bdc5"},"schema_version":"1.0","source":{"id":"2303.04622","kind":"arxiv","version":1}},"canonical_sha256":"59ed3f9155498b72219d4c6725fe87c058cda9ade8b3a73144d865c255109eb1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59ed3f9155498b72219d4c6725fe87c058cda9ade8b3a73144d865c255109eb1","first_computed_at":"2026-07-05T05:49:23.476781Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:49:23.476781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/cOz3gkt8QEVdsHRdCY44R3DiMK26xRJZPTIBQ2W7D4+ARixiVucf+od03jaffntleMVpPHk04S1NolEK2XwBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:49:23.477228Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.04622","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:501417452897d265bf64024b48f407acbc2f490fde9ed0d709b61a2ae11420bd","sha256:acfd087e898dcaae48850b1c412d6e6950bfbf187373cb8c91752accdfd287f4"],"state_sha256":"af729645fde2f517b6a595c50f1e8b889348ea0ce98a02d133cedc24c9c7df2a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UJOSpClH3IOEe7xjqgO4KAcycS6KDi7B1Sl4gHsVhCkC7qnc3VEwwA4NvVpd4j7lv538dDp1aQi4hEfjoAqnCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:22:34.157348Z","bundle_sha256":"85ec64b06adfb98a38f0d837674a69f2af8404cb2e8abb13dd38e4529d71d80a"}}