"We have achieved impressive efficiency gains by collaborating with Intel and Taiwan NTUNHS on implementing federated learning medical image recognition in ASUS* server products with 4th generation Intel® Xeon® Scalable processors. Integrating Intel® tools and Intel® Extension for PyTorch* into federated learning environments has resulted in a 13% increase in efficiency for AlexNet and a 30% increase for VGG19 in medical image recognition applications. With the help of Intel® VTune™ Profiler, we found that operation reordering by Intel® oneAPI Deep Neural Network Library (oneDNN) significantly reduced CPU computation time for deep learning model training. Intel's software optimization tools deliver values by enhancing performance in distributed machine learning environments without compromising data privacy."
— Paul Ju, corporate vice president and CTO of Data Center Solution, ASUS
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