Combined Compression Cuts Federated Learning Data by 98.87%
The study, published in Discover Electronics, presents a practical framework that achieves a 98.87% reduction in cumulative communication compared to ...
The study, published in Discover Electronics, presents a practical framework that achieves a 98.87% reduction in cumulative communication compared to ...
A cross-sectional study of 189 hospital nurses in Iran revealed that positive attitudes toward professional competence did not correlate with ...
A cross-sectional study in Montreal demonstrates that machine learning models cannot reliably predict antiretroviral therapy adherence barriers from sociodemographic characteristics ...
Machine learning models trained on X-chromosomal gene expression classify female systemic lupus erythematosus in T cells with performance comparable to ...
A study of 577 secondary and early-college science fair participants found that perceived community contribution was positively associated with autonomous ...
A retrospective multicenter study demonstrates that a multimodal Transformer model tracking inflammatory and metabolic dynamics can stratify postoperative complication risks ...
A causal machine learning analysis of ulcerative colitis trial data found that week-8 endoscopic features did not improve individualized treatment ...
Researchers have introduced a decentralized federated learning framework that corrects noisy training labels across peer-to-peer networks through model-level majority voting ...
A systematic review and meta-analysis found that virtual reality training significantly improved objectively assessed learning outcomes across health professions education, ...
A deep learning algorithm analyzing structural brain magnetic resonance imaging scans has accurately identified Alzheimer's disease pathology and predicted clinical ...
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© 2026 Scienmag - Science Magazine