{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004508121,0.0007910704,0.001488185,0.0008523344,0.0007692032,0.00208641,0.002624798,0.00164776,0.002024631],"category_scores_gemma":[0.01042763,0.0005661392,0.0007701442,0.001292699,0.001599195,0.005626211,0.005801979,0.002496006,0.0009358499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009753421,"about_ca_system_score_gemma":0.001916126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008005347,"about_ca_topic_score_gemma":0.0007673941,"domain_scores_codex":[0.9959344,0.001362802,0.0003019949,0.0005869025,0.001275424,0.0005384272],"domain_scores_gemma":[0.9944016,0.001563573,0.0004282824,0.002948969,0.0004905138,0.0001670284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001577202,0.0005484189,0.00250254,0.0003642888,0.0002237968,0.0005286478,0.0004626175,0.3677573,0.0160405,0.2070715,0.01228331,0.3906399],"study_design_scores_gemma":[0.0000785579,0.0001095286,0.0001874468,0.00002183647,0.00001754802,0.0001927899,0.00004398528,0.91349,0.008823131,0.07470878,0.002302095,0.00002435177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.017422,0.0002512899,0.979191,0.0002272645,0.00005385393,0.00008363363,0.00009791385,0.001575493,0.001097584],"genre_scores_gemma":[0.7518377,0.0002582223,0.2432652,0.0003773048,0.00007459176,0.0002300463,0.0003344028,0.0001658428,0.003456745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004508121,"threshold_uncertainty_score":0.0238415,"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."}}