{"id":"W4404385876","doi":"10.1145/3698038.3698557","title":"Pack: Towards Communication-Efficient Homomorphic Encryption in Federated Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Young Scientists Fund; Health and Medical Research Fund; Universitas Brawijaya","keywords":"Homomorphic encryption; Computer science; Encryption; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005392369,0.0000921361,0.00009043837,0.0002224369,0.0001559042,0.0005787241,0.0004674147,0.00005317024,0.00008106199],"category_scores_gemma":[0.00003255326,0.00008231767,0.0000481122,0.001171572,0.00003973376,0.0003678654,0.0002489232,0.0003149778,0.000156315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003685255,"about_ca_system_score_gemma":0.00007066301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002918963,"about_ca_topic_score_gemma":0.0001597521,"domain_scores_codex":[0.9990304,0.0001316525,0.0001862321,0.0002868664,0.0001811199,0.0001837492],"domain_scores_gemma":[0.9994224,0.0000906678,0.0000208914,0.0003768489,0.00004048099,0.00004867525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003405468,0.0001217688,0.0005904733,0.00002884018,0.00001102661,0.00002400672,0.002509189,0.001305458,0.0005167399,0.9267619,0.001017406,0.06710982],"study_design_scores_gemma":[0.0001843869,0.00004584872,0.007464892,0.00009488677,0.000003052189,0.00001667344,0.0002650002,0.9659058,0.0005748519,0.01048815,0.01474012,0.0002163181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1278316,0.001560537,0.8583449,0.001991013,0.0002417847,0.0001568255,0.000002796303,0.00111569,0.008754898],"genre_scores_gemma":[0.9899269,0.0001410024,0.009768323,0.00008567309,0.00001274974,0.00001307137,0.00001985608,0.000006255763,0.00002618266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9646003,"threshold_uncertainty_score":0.5580649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431865144504409,"score_gpt":0.2560109964373299,"score_spread":0.2416923449922858,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}