{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:KWL4CYOX6ZORHFMXL2CFKH7C7L","short_pith_number":"pith:KWL4CYOX","canonical_record":{"source":{"id":"2006.14591","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-25T17:37:45Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"5dc269ed492ac018f10b03e4ee2feb9869fd4f0b45b9ced3a8ff7ed732fa2110","abstract_canon_sha256":"30143e8ec41c8ef1640cacbbb3ee27023692800b022252d824ec8506d9eb7441"},"schema_version":"1.0"},"canonical_sha256":"5597c161d7f65d1395975e84551fe2faf5c7d6dd87f8c61cf1769062941a9c9f","source":{"kind":"arxiv","id":"2006.14591","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.14591","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"arxiv_version","alias_value":"2006.14591v4","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.14591","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"pith_short_12","alias_value":"KWL4CYOX6ZOR","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"pith_short_16","alias_value":"KWL4CYOX6ZORHFMX","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"pith_short_8","alias_value":"KWL4CYOX","created_at":"2026-07-05T04:32:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:KWL4CYOX6ZORHFMXL2CFKH7C7L","target":"record","payload":{"canonical_record":{"source":{"id":"2006.14591","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-25T17:37:45Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"5dc269ed492ac018f10b03e4ee2feb9869fd4f0b45b9ced3a8ff7ed732fa2110","abstract_canon_sha256":"30143e8ec41c8ef1640cacbbb3ee27023692800b022252d824ec8506d9eb7441"},"schema_version":"1.0"},"canonical_sha256":"5597c161d7f65d1395975e84551fe2faf5c7d6dd87f8c61cf1769062941a9c9f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:32:47.545037Z","signature_b64":"pR5HK5e2BKyjxvSLrSYKGuoMgcCoDE4xaPPLMPWbBA+ZuuikB5OE39+j17aWMloeIefszWlFi2zxO3wt/pmSBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5597c161d7f65d1395975e84551fe2faf5c7d6dd87f8c61cf1769062941a9c9f","last_reissued_at":"2026-07-05T04:32:47.544522Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:32:47.544522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.14591","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:32:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ehDRwFeYmAodKX08r3IXvc0kA8P3tDDsX+RZAtsA301IZPZ48pgrLhNnZyZ8eJwl0LnE5utJrwr8tICR0V9tAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T05:10:15.476700Z"},"content_sha256":"a36d9f9b6664f328bf03c307fc7f00077f024fdb6329597832f667d9c2e713da","schema_version":"1.0","event_id":"sha256:a36d9f9b6664f328bf03c307fc7f00077f024fdb6329597832f667d9c2e713da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:KWL4CYOX6ZORHFMXL2CFKH7C7L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bidirectional compression in heterogeneous settings for distributed or federated learning with partial participation: tight convergence guarantees","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Aymeric Dieuleveut, Constantin Philippenko","submitted_at":"2020-06-25T17:37:45Z","abstract_excerpt":"We introduce a framework - Artemis - to tackle the problem of learning in a distributed or federated setting with communication constraints and device partial participation. Several workers (randomly sampled) perform the optimization process using a central server to aggregate their computations. To alleviate the communication cost, Artemis allows to compress the information sent in both directions (from the workers to the server and conversely) combined with a memory mechanism. It improves on existing algorithms that only consider unidirectional compression (to the server), or use very strong"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.14591","kind":"arxiv","version":4},"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/2006.14591/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":"2026-07-05T04:32:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"98b8hdJvCXHKNkf3rXXUTkqB5raR0hlGGrnDkcFXi3U3T4kqpOKLxiMcmCs06pPJaUn7PYyYa44kUOTau+uBCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T05:10:15.477205Z"},"content_sha256":"01a66e53d3d9d55544369810b1f7dc439d6f2a7598c1f85aa67673a7d968729e","schema_version":"1.0","event_id":"sha256:01a66e53d3d9d55544369810b1f7dc439d6f2a7598c1f85aa67673a7d968729e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KWL4CYOX6ZORHFMXL2CFKH7C7L/bundle.json","state_url":"https://pith.science/pith/KWL4CYOX6ZORHFMXL2CFKH7C7L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KWL4CYOX6ZORHFMXL2CFKH7C7L/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":"2026-08-12T05:10:15Z","links":{"resolver":"https://pith.science/pith/KWL4CYOX6ZORHFMXL2CFKH7C7L","bundle":"https://pith.science/pith/KWL4CYOX6ZORHFMXL2CFKH7C7L/bundle.json","state":"https://pith.science/pith/KWL4CYOX6ZORHFMXL2CFKH7C7L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KWL4CYOX6ZORHFMXL2CFKH7C7L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:KWL4CYOX6ZORHFMXL2CFKH7C7L","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":"30143e8ec41c8ef1640cacbbb3ee27023692800b022252d824ec8506d9eb7441","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-25T17:37:45Z","title_canon_sha256":"5dc269ed492ac018f10b03e4ee2feb9869fd4f0b45b9ced3a8ff7ed732fa2110"},"schema_version":"1.0","source":{"id":"2006.14591","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.14591","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"arxiv_version","alias_value":"2006.14591v4","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.14591","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"pith_short_12","alias_value":"KWL4CYOX6ZOR","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"pith_short_16","alias_value":"KWL4CYOX6ZORHFMX","created_at":"2026-07-05T04:32:47Z"},{"alias_kind":"pith_short_8","alias_value":"KWL4CYOX","created_at":"2026-07-05T04:32:47Z"}],"graph_snapshots":[{"event_id":"sha256:01a66e53d3d9d55544369810b1f7dc439d6f2a7598c1f85aa67673a7d968729e","target":"graph","created_at":"2026-07-05T04:32:47Z","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/2006.14591/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a framework - Artemis - to tackle the problem of learning in a distributed or federated setting with communication constraints and device partial participation. Several workers (randomly sampled) perform the optimization process using a central server to aggregate their computations. To alleviate the communication cost, Artemis allows to compress the information sent in both directions (from the workers to the server and conversely) combined with a memory mechanism. It improves on existing algorithms that only consider unidirectional compression (to the server), or use very strong","authors_text":"Aymeric Dieuleveut, Constantin Philippenko","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-25T17:37:45Z","title":"Bidirectional compression in heterogeneous settings for distributed or federated learning with partial participation: tight convergence guarantees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.14591","kind":"arxiv","version":4},"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:a36d9f9b6664f328bf03c307fc7f00077f024fdb6329597832f667d9c2e713da","target":"record","created_at":"2026-07-05T04:32:47Z","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":"30143e8ec41c8ef1640cacbbb3ee27023692800b022252d824ec8506d9eb7441","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-25T17:37:45Z","title_canon_sha256":"5dc269ed492ac018f10b03e4ee2feb9869fd4f0b45b9ced3a8ff7ed732fa2110"},"schema_version":"1.0","source":{"id":"2006.14591","kind":"arxiv","version":4}},"canonical_sha256":"5597c161d7f65d1395975e84551fe2faf5c7d6dd87f8c61cf1769062941a9c9f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5597c161d7f65d1395975e84551fe2faf5c7d6dd87f8c61cf1769062941a9c9f","first_computed_at":"2026-07-05T04:32:47.544522Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:32:47.544522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pR5HK5e2BKyjxvSLrSYKGuoMgcCoDE4xaPPLMPWbBA+ZuuikB5OE39+j17aWMloeIefszWlFi2zxO3wt/pmSBg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:32:47.545037Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.14591","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a36d9f9b6664f328bf03c307fc7f00077f024fdb6329597832f667d9c2e713da","sha256:01a66e53d3d9d55544369810b1f7dc439d6f2a7598c1f85aa67673a7d968729e"],"state_sha256":"36a564537ba1d15083827e1e0edcb4521c1e417e10763a7a6c69ac5460384bbd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pef1Ox48mIU0M4TknfayUuFJtrHsbyoL/8ciX6NS/nL/nPO/9UQgp4WxQZ6qECyBcsGsf49iH1+rmyHmv9OwDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T05:10:15.482726Z","bundle_sha256":"b3511529189edef354a4322731c00314204288cbf6aa77106bb778c0dfbcaea3"}}