References:
References: Horovod: fast and easy distributed deep learning in TensorFlow. code Overview Uber: deep learning for self-driving, trip forecasting, fraud prevention. Michelangelo[c3], an internal ML-as-a-service platform, deploying ML systems at scale. Horovod, an open-source component of Michelangelo’s deep learning toolkit which makes it easier to start – and speed up – distributed deep learning projects with TensorFlow. Motivation As datasets grew, so did the training times, which sometimes took a week or longer to complete.
If you could revise
the fundmental principles of
computer system design
to improve security...
... what would you change?