{"id":"W4402754347","doi":"10.3390/electronics13183675","title":"Securing Federated Learning: Approaches, Mechanisms and Opportunities","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"","keywords":"Computer science; Confidentiality; Homomorphic encryption; Context (archaeology); Encryption; Process (computing); Information privacy; Computer security; Data security; Data science","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":[0.01685853,0.001086751,0.001578161,0.00269803,0.002858876,0.01022159,0.004701125,0.005652354,0.002611977],"category_scores_gemma":[0.02453423,0.001009203,0.001543299,0.003093494,0.008783214,0.02382594,0.008279041,0.007120511,0.0009920553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003974888,"about_ca_system_score_gemma":0.003070301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008550831,"about_ca_topic_score_gemma":0.0003960984,"domain_scores_codex":[0.9866285,0.005040548,0.0009034077,0.00182194,0.004560983,0.001044601],"domain_scores_gemma":[0.9738271,0.009730527,0.002312841,0.01134289,0.002235873,0.00055079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001079949,0.0001092404,0.0008822841,0.0002268265,0.00006544294,0.000188403,0.0004241877,0.01195346,0.00104424,0.8884636,0.003196828,0.09333746],"study_design_scores_gemma":[0.00003541294,0.0001075777,0.0002987382,0.0004395859,0.00004278008,0.0006763379,0.0003319962,0.08855203,0.005690961,0.8740082,0.02973873,0.00007760552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01710229,0.01434585,0.9354369,0.01448959,0.0005747512,0.0002167536,0.0001125158,0.0008637653,0.01685753],"genre_scores_gemma":[0.7016562,0.01831624,0.2638488,0.00303854,0.001281263,0.0005875754,0.0002388893,0.0001930253,0.01083962],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01685853,"threshold_uncertainty_score":0.08915752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06667399238043395,"score_gpt":0.2529768057531479,"score_spread":0.186302813372714,"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."}}