New framework reduces fault tolerance costs in machine learning.
problem Fault tolerance in iterative-convergent machine learning algorithms.
method Developed a general framework to quantify and design strategies for checkpoint-based fault tolerance.
result SCAR reduces iteration cost of partial failures by 78% - 95%.