{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EQPPSPZJ435KGVLDZWXW52JTIQ","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":"6df244de2cac61bacab56eec2424d79cc30159d304a9bec8a1bf5593da71520d","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-14T09:37:39Z","title_canon_sha256":"27b26c37c8c0641a077a099ad3eb795c95c86a90f7bce5358c47b60601929327"},"schema_version":"1.0","source":{"id":"2306.08393","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.08393","created_at":"2026-07-05T07:24:50Z"},{"alias_kind":"arxiv_version","alias_value":"2306.08393v2","created_at":"2026-07-05T07:24:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.08393","created_at":"2026-07-05T07:24:50Z"},{"alias_kind":"pith_short_12","alias_value":"EQPPSPZJ435K","created_at":"2026-07-05T07:24:50Z"},{"alias_kind":"pith_short_16","alias_value":"EQPPSPZJ435KGVLD","created_at":"2026-07-05T07:24:50Z"},{"alias_kind":"pith_short_8","alias_value":"EQPPSPZJ","created_at":"2026-07-05T07:24:50Z"}],"graph_snapshots":[{"event_id":"sha256:092233170a7ab03b103492a6a236979c8ca4a0ed6c53d108c6b48e784fd55531","target":"graph","created_at":"2026-07-05T07:24:50Z","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/2306.08393/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identifying clients with similar objectives and learning a model-per-cluster is an intuitive and interpretable approach to personalization in federated learning. However, doing so with provable and optimal guarantees has remained an open challenge. We formalize this problem as a stochastic optimization problem, achieving optimal convergence rates for a large class of loss functions. We propose simple iterative algorithms which identify clusters of similar clients and train a personalized model-per-cluster, using local client gradients and flexible constraints on the clusters. The convergence r","authors_text":"Lie He, Mariel Werner, Martin Jaggi, Michael Jordan, Sai Praneeth Karimireddy","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-14T09:37:39Z","title":"Provably Personalized and Robust Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.08393","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:f1f82af945481ad3c5bb1b59a90a3d50ea87fd1e008106b30430de608f1e8ee7","target":"record","created_at":"2026-07-05T07:24:50Z","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":"6df244de2cac61bacab56eec2424d79cc30159d304a9bec8a1bf5593da71520d","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-14T09:37:39Z","title_canon_sha256":"27b26c37c8c0641a077a099ad3eb795c95c86a90f7bce5358c47b60601929327"},"schema_version":"1.0","source":{"id":"2306.08393","kind":"arxiv","version":2}},"canonical_sha256":"241ef93f29e6faa35563cdaf6ee9334438cd1dc14f73fb90489c314021169b27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"241ef93f29e6faa35563cdaf6ee9334438cd1dc14f73fb90489c314021169b27","first_computed_at":"2026-07-05T07:24:50.993978Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:24:50.993978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zzjMnYBHojmEwdx8OuiYbv5mROhPIGG1o5qfReyHHosa+xCWIk+PPBIKxjfD8HvNZOKeiseWUMouZxa/UZ2NBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:24:50.994474Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.08393","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1f82af945481ad3c5bb1b59a90a3d50ea87fd1e008106b30430de608f1e8ee7","sha256:092233170a7ab03b103492a6a236979c8ca4a0ed6c53d108c6b48e784fd55531"],"state_sha256":"f3df936d0036ce1a86cbe1a43b5e7cd3675fddbcd4cf5eceb5b7b62959ff6f7d"}