{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:OW6EOSG7HY7BIGVWZWQ3PF6U43","short_pith_number":"pith:OW6EOSG7","canonical_record":{"source":{"id":"2205.11440","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-05-23T16:32:52Z","cross_cats_sorted":["cs.LG","cs.NI"],"title_canon_sha256":"fca1a7295a6aa45930efc3ebb52486b01b61c76d132b25aff1780ec55229d6dd","abstract_canon_sha256":"75d99bb995b0747132b7f9df5ff302d41bd2a8be0137e80c724a890057dbc678"},"schema_version":"1.0"},"canonical_sha256":"75bc4748df3e3e141ab6cda1b797d4e6c594fd4edce627202edac0a345e82688","source":{"kind":"arxiv","id":"2205.11440","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.11440","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"arxiv_version","alias_value":"2205.11440v2","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.11440","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"pith_short_12","alias_value":"OW6EOSG7HY7B","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"pith_short_16","alias_value":"OW6EOSG7HY7BIGVW","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"pith_short_8","alias_value":"OW6EOSG7","created_at":"2026-07-05T05:05:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:OW6EOSG7HY7BIGVWZWQ3PF6U43","target":"record","payload":{"canonical_record":{"source":{"id":"2205.11440","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-05-23T16:32:52Z","cross_cats_sorted":["cs.LG","cs.NI"],"title_canon_sha256":"fca1a7295a6aa45930efc3ebb52486b01b61c76d132b25aff1780ec55229d6dd","abstract_canon_sha256":"75d99bb995b0747132b7f9df5ff302d41bd2a8be0137e80c724a890057dbc678"},"schema_version":"1.0"},"canonical_sha256":"75bc4748df3e3e141ab6cda1b797d4e6c594fd4edce627202edac0a345e82688","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:05:05.544073Z","signature_b64":"sHlz/XkQVNVhEliwfDQLPRqEIaP0oDEIzGbVIrfdTB1eUdkaR0tX/WLUL6yoyeiFnTs2S9eIqvRckatuS7bIBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75bc4748df3e3e141ab6cda1b797d4e6c594fd4edce627202edac0a345e82688","last_reissued_at":"2026-07-05T05:05:05.543695Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:05:05.543695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.11440","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:05:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZqF4yie9cOWgnW3OnXGEwXgo26ycMg2UxJTrxY6xmn7FasXcoyoz34HtZKmuHMljpqqntWUDBS292+qPlM2jAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T11:34:03.405014Z"},"content_sha256":"2b8f7de8c068531affd23e38e01af3fcd7e2044785db1cb7caeb47908d20a1aa","schema_version":"1.0","event_id":"sha256:2b8f7de8c068531affd23e38e01af3fcd7e2044785db1cb7caeb47908d20a1aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:OW6EOSG7HY7BIGVWZWQ3PF6U43","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Federated Distillation based Indoor Localization for IoT Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.NI"],"primary_cat":"eess.SP","authors_text":"El Mehdi Amhoud, Marwa Chafii, Yaya Etiabi","submitted_at":"2022-05-23T16:32:52Z","abstract_excerpt":"Federated distillation (FD) paradigm has been recently proposed as a promising alternative to federated learning (FL) especially in wireless sensor networks with limited communication resources. However, all state-of-the art FD algorithms are designed for only classification tasks and less attention has been given to regression tasks. In this work, we propose an FD framework that properly operates on regression learning problems. Afterwards, we present a use-case implementation by proposing an indoor localization system that shows a good trade-off communication load vs. accuracy compared to fe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.11440","kind":"arxiv","version":2},"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/2205.11440/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":"2026-07-05T05:05:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hsa8eqoE5NtjSLUPFWTdk3XCsPUvtveXmjMmS/G+0UKkg1YLPubtJYliH6xAkz3O5uot3pGlMnMouppkXvUhCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T11:34:03.405948Z"},"content_sha256":"75f6dd82ecf9aef8e06031cd38f8294985ed83323efd2abc1cec32b7ed949026","schema_version":"1.0","event_id":"sha256:75f6dd82ecf9aef8e06031cd38f8294985ed83323efd2abc1cec32b7ed949026"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OW6EOSG7HY7BIGVWZWQ3PF6U43/bundle.json","state_url":"https://pith.science/pith/OW6EOSG7HY7BIGVWZWQ3PF6U43/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OW6EOSG7HY7BIGVWZWQ3PF6U43/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":"2026-08-16T11:34:03Z","links":{"resolver":"https://pith.science/pith/OW6EOSG7HY7BIGVWZWQ3PF6U43","bundle":"https://pith.science/pith/OW6EOSG7HY7BIGVWZWQ3PF6U43/bundle.json","state":"https://pith.science/pith/OW6EOSG7HY7BIGVWZWQ3PF6U43/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OW6EOSG7HY7BIGVWZWQ3PF6U43/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OW6EOSG7HY7BIGVWZWQ3PF6U43","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":"75d99bb995b0747132b7f9df5ff302d41bd2a8be0137e80c724a890057dbc678","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-05-23T16:32:52Z","title_canon_sha256":"fca1a7295a6aa45930efc3ebb52486b01b61c76d132b25aff1780ec55229d6dd"},"schema_version":"1.0","source":{"id":"2205.11440","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.11440","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"arxiv_version","alias_value":"2205.11440v2","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.11440","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"pith_short_12","alias_value":"OW6EOSG7HY7B","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"pith_short_16","alias_value":"OW6EOSG7HY7BIGVW","created_at":"2026-07-05T05:05:05Z"},{"alias_kind":"pith_short_8","alias_value":"OW6EOSG7","created_at":"2026-07-05T05:05:05Z"}],"graph_snapshots":[{"event_id":"sha256:75f6dd82ecf9aef8e06031cd38f8294985ed83323efd2abc1cec32b7ed949026","target":"graph","created_at":"2026-07-05T05:05:05Z","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/2205.11440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated distillation (FD) paradigm has been recently proposed as a promising alternative to federated learning (FL) especially in wireless sensor networks with limited communication resources. However, all state-of-the art FD algorithms are designed for only classification tasks and less attention has been given to regression tasks. In this work, we propose an FD framework that properly operates on regression learning problems. Afterwards, we present a use-case implementation by proposing an indoor localization system that shows a good trade-off communication load vs. accuracy compared to fe","authors_text":"El Mehdi Amhoud, Marwa Chafii, Yaya Etiabi","cross_cats":["cs.LG","cs.NI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-05-23T16:32:52Z","title":"Federated Distillation based Indoor Localization for IoT Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.11440","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":"sha256:2b8f7de8c068531affd23e38e01af3fcd7e2044785db1cb7caeb47908d20a1aa","target":"record","created_at":"2026-07-05T05:05:05Z","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":"75d99bb995b0747132b7f9df5ff302d41bd2a8be0137e80c724a890057dbc678","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-05-23T16:32:52Z","title_canon_sha256":"fca1a7295a6aa45930efc3ebb52486b01b61c76d132b25aff1780ec55229d6dd"},"schema_version":"1.0","source":{"id":"2205.11440","kind":"arxiv","version":2}},"canonical_sha256":"75bc4748df3e3e141ab6cda1b797d4e6c594fd4edce627202edac0a345e82688","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75bc4748df3e3e141ab6cda1b797d4e6c594fd4edce627202edac0a345e82688","first_computed_at":"2026-07-05T05:05:05.543695Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:05:05.543695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sHlz/XkQVNVhEliwfDQLPRqEIaP0oDEIzGbVIrfdTB1eUdkaR0tX/WLUL6yoyeiFnTs2S9eIqvRckatuS7bIBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:05:05.544073Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.11440","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b8f7de8c068531affd23e38e01af3fcd7e2044785db1cb7caeb47908d20a1aa","sha256:75f6dd82ecf9aef8e06031cd38f8294985ed83323efd2abc1cec32b7ed949026"],"state_sha256":"76ba639e496cefc27e95acb07fda85f83a1e78b82f305d71de5f7bc03cd6e007"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wNc05EV1eiuAjh971/Rlfx1NJQBaKaUsLRgPM2rXlhP50trH+O5Y6tH02dhxjY1v+nud3TcVg5D6KlHqazeWAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T11:34:03.417048Z","bundle_sha256":"0df86185d0418bb7bf128ec7bf321484a6fb98d445a179693458cfd1686bccb8"}}