{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:GCWLJ3LJ65FBKMFI3L37TOPNHU","short_pith_number":"pith:GCWLJ3LJ","canonical_record":{"source":{"id":"2009.13012","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2020-09-28T02:07:37Z","cross_cats_sorted":[],"title_canon_sha256":"74c5a5a7232d45f1463889bdd28007b48445cb0ef4976da15751e2ecf96deac3","abstract_canon_sha256":"0444765cea61e07aa791d02c79c01a9651ab81b8717fe47e427a15c4c5f57041"},"schema_version":"1.0"},"canonical_sha256":"30acb4ed69f74a1530a8daf7f9b9ed3d043cb487140aae04d36c79a3ad3ecc36","source":{"kind":"arxiv","id":"2009.13012","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.13012","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"arxiv_version","alias_value":"2009.13012v2","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.13012","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"pith_short_12","alias_value":"GCWLJ3LJ65FB","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"pith_short_16","alias_value":"GCWLJ3LJ65FBKMFI","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"pith_short_8","alias_value":"GCWLJ3LJ","created_at":"2026-07-05T02:50:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:GCWLJ3LJ65FBKMFI3L37TOPNHU","target":"record","payload":{"canonical_record":{"source":{"id":"2009.13012","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2020-09-28T02:07:37Z","cross_cats_sorted":[],"title_canon_sha256":"74c5a5a7232d45f1463889bdd28007b48445cb0ef4976da15751e2ecf96deac3","abstract_canon_sha256":"0444765cea61e07aa791d02c79c01a9651ab81b8717fe47e427a15c4c5f57041"},"schema_version":"1.0"},"canonical_sha256":"30acb4ed69f74a1530a8daf7f9b9ed3d043cb487140aae04d36c79a3ad3ecc36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:50:27.655788Z","signature_b64":"GhHxfZtqTYwCN7djtJ989JvMRR3NbAhN450XRdFZ4g0Q4KfqUKViI17v5DVPsiY1pErhp0zYewDJkJJ5idiTAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30acb4ed69f74a1530a8daf7f9b9ed3d043cb487140aae04d36c79a3ad3ecc36","last_reissued_at":"2026-07-05T02:50:27.655389Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:50:27.655389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.13012","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":"2026-07-05T02:50:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vu/LbwyOjkBTsINhFbNwdUrlzMyyew9oAWANfLj8bnhIqfG0AGQaJMFmTwGiEqi2YfE3wt1hmuVjsgN/lhHXCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T16:32:20.097439Z"},"content_sha256":"e8052ccc33764839af6d500315610403aa303efe7c60883c9bfc38099cd79a44","schema_version":"1.0","event_id":"sha256:e8052ccc33764839af6d500315610403aa303efe7c60883c9bfc38099cd79a44"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:GCWLJ3LJ65FBKMFI3L37TOPNHU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Choong Seon Hong, Ekram Hossain, Latif U. Khan, Walid Saad, Zhu Han","submitted_at":"2020-09-28T02:07:37Z","abstract_excerpt":"The Internet of Things (IoT) will be ripe for the deployment of novel machine learning algorithms for both network and application management. However, given the presence of massively distributed and private datasets, it is challenging to use classical centralized learning algorithms in the IoT. To overcome this challenge, federated learning can be a promising solution that enables on-device machine learning without the need to migrate the private end-user data to a central cloud. In federated learning, only learning model updates are transferred between end-devices and the aggregation server."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.13012","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/2009.13012/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":"2026-07-05T02:50:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xj+u1qYw2aGZHGmOio5dM7jWJGmCBOTz6q2A2pWTFgH1csdARhJyUkAgpNF6io3IJpqyNqLwBbtFl4TTeDRECg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T16:32:20.097830Z"},"content_sha256":"ea8e2e608ca4bf2d8a34fbe8644376169399c2bbbfb9e448b75f93789204065e","schema_version":"1.0","event_id":"sha256:ea8e2e608ca4bf2d8a34fbe8644376169399c2bbbfb9e448b75f93789204065e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GCWLJ3LJ65FBKMFI3L37TOPNHU/bundle.json","state_url":"https://pith.science/pith/GCWLJ3LJ65FBKMFI3L37TOPNHU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GCWLJ3LJ65FBKMFI3L37TOPNHU/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":"2026-07-14T16:32:20Z","links":{"resolver":"https://pith.science/pith/GCWLJ3LJ65FBKMFI3L37TOPNHU","bundle":"https://pith.science/pith/GCWLJ3LJ65FBKMFI3L37TOPNHU/bundle.json","state":"https://pith.science/pith/GCWLJ3LJ65FBKMFI3L37TOPNHU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GCWLJ3LJ65FBKMFI3L37TOPNHU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:GCWLJ3LJ65FBKMFI3L37TOPNHU","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":"0444765cea61e07aa791d02c79c01a9651ab81b8717fe47e427a15c4c5f57041","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2020-09-28T02:07:37Z","title_canon_sha256":"74c5a5a7232d45f1463889bdd28007b48445cb0ef4976da15751e2ecf96deac3"},"schema_version":"1.0","source":{"id":"2009.13012","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.13012","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"arxiv_version","alias_value":"2009.13012v2","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.13012","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"pith_short_12","alias_value":"GCWLJ3LJ65FB","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"pith_short_16","alias_value":"GCWLJ3LJ65FBKMFI","created_at":"2026-07-05T02:50:27Z"},{"alias_kind":"pith_short_8","alias_value":"GCWLJ3LJ","created_at":"2026-07-05T02:50:27Z"}],"graph_snapshots":[{"event_id":"sha256:ea8e2e608ca4bf2d8a34fbe8644376169399c2bbbfb9e448b75f93789204065e","target":"graph","created_at":"2026-07-05T02:50:27Z","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/2009.13012/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Internet of Things (IoT) will be ripe for the deployment of novel machine learning algorithms for both network and application management. However, given the presence of massively distributed and private datasets, it is challenging to use classical centralized learning algorithms in the IoT. To overcome this challenge, federated learning can be a promising solution that enables on-device machine learning without the need to migrate the private end-user data to a central cloud. In federated learning, only learning model updates are transferred between end-devices and the aggregation server.","authors_text":"Choong Seon Hong, Ekram Hossain, Latif U. Khan, Walid Saad, Zhu Han","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2020-09-28T02:07:37Z","title":"Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.13012","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:e8052ccc33764839af6d500315610403aa303efe7c60883c9bfc38099cd79a44","target":"record","created_at":"2026-07-05T02:50:27Z","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":"0444765cea61e07aa791d02c79c01a9651ab81b8717fe47e427a15c4c5f57041","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2020-09-28T02:07:37Z","title_canon_sha256":"74c5a5a7232d45f1463889bdd28007b48445cb0ef4976da15751e2ecf96deac3"},"schema_version":"1.0","source":{"id":"2009.13012","kind":"arxiv","version":2}},"canonical_sha256":"30acb4ed69f74a1530a8daf7f9b9ed3d043cb487140aae04d36c79a3ad3ecc36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30acb4ed69f74a1530a8daf7f9b9ed3d043cb487140aae04d36c79a3ad3ecc36","first_computed_at":"2026-07-05T02:50:27.655389Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:50:27.655389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GhHxfZtqTYwCN7djtJ989JvMRR3NbAhN450XRdFZ4g0Q4KfqUKViI17v5DVPsiY1pErhp0zYewDJkJJ5idiTAw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:50:27.655788Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.13012","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8052ccc33764839af6d500315610403aa303efe7c60883c9bfc38099cd79a44","sha256:ea8e2e608ca4bf2d8a34fbe8644376169399c2bbbfb9e448b75f93789204065e"],"state_sha256":"4b46fbe087cf479aba0877077c20c3d96121752cbca48511c3d29786c1424787"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F3D9tjRN76Ohpp9fWK7dA3ZGAP+tcaU8BCSnfTtlBPbbrtcs++QvibamGtBN88Xhd/bIG48UIi5VL7UwNSaLCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T16:32:20.100109Z","bundle_sha256":"86d1ad0cbe38f4f621bba4437bfb05f88030303239a3f59428076053e484ac0f"}}