{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GCWO3D5VKEVVENG5PVKNTBB77X","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":"ddbeff392fb07efb8b822fce3bce368e718da316d1d01c204221b9fb1b40d0e9","cross_cats_sorted":["cs.AI","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-05T18:30:23Z","title_canon_sha256":"bd665c21159034ae0c77c081d97f0f7946f149fae537f2141c491d8963767843"},"schema_version":"1.0","source":{"id":"2202.02611","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.02611","created_at":"2026-07-05T03:54:31Z"},{"alias_kind":"arxiv_version","alias_value":"2202.02611v1","created_at":"2026-07-05T03:54:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.02611","created_at":"2026-07-05T03:54:31Z"},{"alias_kind":"pith_short_12","alias_value":"GCWO3D5VKEVV","created_at":"2026-07-05T03:54:31Z"},{"alias_kind":"pith_short_16","alias_value":"GCWO3D5VKEVVENG5","created_at":"2026-07-05T03:54:31Z"},{"alias_kind":"pith_short_8","alias_value":"GCWO3D5V","created_at":"2026-07-05T03:54:31Z"}],"graph_snapshots":[{"event_id":"sha256:e66aae3db2394453ffa3d01f4b36c93a8f1b864c844bea315c6843c030ef8c98","target":"graph","created_at":"2026-07-05T03:54:31Z","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/2202.02611/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speech Emotion Recognition (SER) refers to the recognition of human emotions from natural speech. If done accurately, it can offer a number of benefits in building human-centered context-aware intelligent systems. Existing SER approaches are largely centralized, without considering users' privacy. Federated Learning (FL) is a distributed machine learning paradigm dealing with decentralization of privacy-sensitive personal data. In this paper, we present a privacy-preserving and data-efficient SER approach by utilizing the concept of FL. To the best of our knowledge, this is the first federated","authors_text":"Nirvana Meratnia, Tanir Ozcelebi, Vasileios Tsouvalas","cross_cats":["cs.AI","cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-05T18:30:23Z","title":"Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.02611","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":"sha256:66363f41afea2f32d4855c1e102f66776ac0514b2cc4ce5a09cdeae1a1f6c618","target":"record","created_at":"2026-07-05T03:54:31Z","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":"ddbeff392fb07efb8b822fce3bce368e718da316d1d01c204221b9fb1b40d0e9","cross_cats_sorted":["cs.AI","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-05T18:30:23Z","title_canon_sha256":"bd665c21159034ae0c77c081d97f0f7946f149fae537f2141c491d8963767843"},"schema_version":"1.0","source":{"id":"2202.02611","kind":"arxiv","version":1}},"canonical_sha256":"30aced8fb5512b5234dd7d54d9843ffdf72749823f8c0c32797072ed7dea341a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30aced8fb5512b5234dd7d54d9843ffdf72749823f8c0c32797072ed7dea341a","first_computed_at":"2026-07-05T03:54:31.198467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:54:31.198467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jx1Nuv5SU9u2VdZ7yCam/qS0ozwLfrCRaqvKYli9w6JAenSWqSptUsmDPIX1oGkGmdH0pfdHtg5ou2OwJj/1BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:54:31.198823Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.02611","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66363f41afea2f32d4855c1e102f66776ac0514b2cc4ce5a09cdeae1a1f6c618","sha256:e66aae3db2394453ffa3d01f4b36c93a8f1b864c844bea315c6843c030ef8c98"],"state_sha256":"bc1c6308395ee578c8a99d83b3fe642239d5a90f8644bc9096f8249a916b4f78"}