{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MFCAW5MPKLD6SNR34ZHZCQGTBX","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":"0ba9b3db03f91b69d931af1de3bc196558c23cd8cd173d510c1e0b8d826a5304","cross_cats_sorted":["cs.DC","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-12T06:04:27Z","title_canon_sha256":"8756fbfa3eabfa4cbbfbeb65d4db724fd82674c5260738933c953113a8f1fb97"},"schema_version":"1.0","source":{"id":"2110.05754","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.05754","created_at":"2026-07-05T04:15:28Z"},{"alias_kind":"arxiv_version","alias_value":"2110.05754v2","created_at":"2026-07-05T04:15:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.05754","created_at":"2026-07-05T04:15:28Z"},{"alias_kind":"pith_short_12","alias_value":"MFCAW5MPKLD6","created_at":"2026-07-05T04:15:28Z"},{"alias_kind":"pith_short_16","alias_value":"MFCAW5MPKLD6SNR3","created_at":"2026-07-05T04:15:28Z"},{"alias_kind":"pith_short_8","alias_value":"MFCAW5MP","created_at":"2026-07-05T04:15:28Z"}],"graph_snapshots":[{"event_id":"sha256:f66f7af881753c0cebf8f7c16a465d8634c44f28b9a30dd763cd6402d7aca220","target":"graph","created_at":"2026-07-05T04:15:28Z","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/2110.05754/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous driving is an active research topic in both academia and industry. However, most of the existing solutions focus on improving the accuracy by training learnable models with centralized large-scale data. Therefore, these methods do not take into account the user's privacy. In this paper, we present a new approach to learn autonomous driving policy while respecting privacy concerns. We propose a peer-to-peer Deep Federated Learning (DFL) approach to train deep architectures in a fully decentralized manner and remove the need for central orchestration. We design a new Federated Autonom","authors_text":"Anh Nguyen, Binh X. Nguyen, Chien Duong, Erman Tjiputra, Minh Tran, Quang D. Tran, Tuong Do, Tu Phan","cross_cats":["cs.DC","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-12T06:04:27Z","title":"Deep Federated Learning for Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.05754","kind":"arxiv","version":2},"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":"sha256:31436d6494d6e273fcc207491f532c18aefeb8d4e332b4aeef829a1102842283","target":"record","created_at":"2026-07-05T04:15:28Z","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":"0ba9b3db03f91b69d931af1de3bc196558c23cd8cd173d510c1e0b8d826a5304","cross_cats_sorted":["cs.DC","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-12T06:04:27Z","title_canon_sha256":"8756fbfa3eabfa4cbbfbeb65d4db724fd82674c5260738933c953113a8f1fb97"},"schema_version":"1.0","source":{"id":"2110.05754","kind":"arxiv","version":2}},"canonical_sha256":"61440b758f52c7e9363be64f9140d30de46524bbf04cd77e37cddd8610bb53df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61440b758f52c7e9363be64f9140d30de46524bbf04cd77e37cddd8610bb53df","first_computed_at":"2026-07-05T04:15:28.296212Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:15:28.296212Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vcf7Yzie7DtuiBdZmzJ4nHDvJDlByAz8tbboiZ+NX2Ut3q/h/jGpo+mKdcLvHw9OMpWWts/+D+6xezKmfUorCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:15:28.296732Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.05754","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31436d6494d6e273fcc207491f532c18aefeb8d4e332b4aeef829a1102842283","sha256:f66f7af881753c0cebf8f7c16a465d8634c44f28b9a30dd763cd6402d7aca220"],"state_sha256":"cbb4b05b117e9146a69803d07b569bdcb7629ce3358943c2287d529f87b637cd"}