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Building on signSGD, we propose FERRET--Fast and Effective Restricted Release for Ethical Training--which transmits at most one sign bit per parameter group with Bernoulli masking.\n  Theory: We prove each fired group leaks at most ln 2 nats; after subsampling with rate s, the total privacy loss of G groups trained for T steps with firing probability p is epsilon = G * T * s * p * ln 2. Thus FERRET achieves MI-DP for epsilon in [0.1, 2] without additive noise.\n  Practice: We evaluate three"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2506.05416","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2025-06-04T21:18:45Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e51a911e59e377efdd99a7699bee7372dbef6d1d9842c45611671b08fad23f4d","abstract_canon_sha256":"d9f074c1f7643daab768c951d8895b091bc83d82c157d7814e411d225ef1703a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:02.247611Z","signature_b64":"k2YJJ9JBuKfnQ0E9m4Zi3xIl2qQE/Yywdhw84QOLV5ZOY/FzC1Zk2ZQ61Je9J29N+yr3FzU5goy4HvywDWeEAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5cabdca4f65e093ef10b674017869e54dfff309bfd7a6999aebb48eef5344b80","last_reissued_at":"2026-07-05T11:17:02.247200Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:02.247200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FERRET: Private Deep Learning Faster And Better Than DPSGD","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"David Zagardo","submitted_at":"2025-06-04T21:18:45Z","abstract_excerpt":"We revisit 1-bit gradient compression through the lens of mutual-information differential privacy (MI-DP). 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Thus FERRET achieves MI-DP for epsilon in [0.1, 2] without additive noise.\n  Practice: We evaluate three"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05416","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/2506.05416/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2506.05416","created_at":"2026-07-05T11:17:02.247256+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.05416v1","created_at":"2026-07-05T11:17:02.247256+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05416","created_at":"2026-07-05T11:17:02.247256+00:00"},{"alias_kind":"pith_short_12","alias_value":"LSV5ZJHWLYET","created_at":"2026-07-05T11:17:02.247256+00:00"},{"alias_kind":"pith_short_16","alias_value":"LSV5ZJHWLYET54IL","created_at":"2026-07-05T11:17:02.247256+00:00"},{"alias_kind":"pith_short_8","alias_value":"LSV5ZJHW","created_at":"2026-07-05T11:17:02.247256+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT","json":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT.json","graph_json":"https://pith.science/api/pith-number/LSV5ZJHWLYET54ILM5ABPBU6KT/graph.json","events_json":"https://pith.science/api/pith-number/LSV5ZJHWLYET54ILM5ABPBU6KT/events.json","paper":"https://pith.science/paper/LSV5ZJHW"},"agent_actions":{"view_html":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT","download_json":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT.json","view_paper":"https://pith.science/paper/LSV5ZJHW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.05416&json=true","fetch_graph":"https://pith.science/api/pith-number/LSV5ZJHWLYET54ILM5ABPBU6KT/graph.json","fetch_events":"https://pith.science/api/pith-number/LSV5ZJHWLYET54ILM5ABPBU6KT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT/action/storage_attestation","attest_author":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT/action/author_attestation","sign_citation":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT/action/citation_signature","submit_replication":"https://pith.science/pith/LSV5ZJHWLYET54ILM5ABPBU6KT/action/replication_record"}},"created_at":"2026-07-05T11:17:02.247256+00:00","updated_at":"2026-07-05T11:17:02.247256+00:00"}