Empirical tests show differential privacy keeps latency and throughput close to normal while SMC depends on network speed and FHE adds roughly 1000x response time, with accuracy losses up to 35% on complex models.
Efficacy of wearable cardiac monitoring devices versus traditional methods in detect- ing atrial fibrillation: a systematic review and meta-analysis
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A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis
Empirical tests show differential privacy keeps latency and throughput close to normal while SMC depends on network speed and FHE adds roughly 1000x response time, with accuracy losses up to 35% on complex models.