Abstract: In various examples, systems and techniques are provided that are directed to fault-triggered checkpointing of parallel training of machine learning models. Training involves a plurality of iterations including one or more fault-free iterations and a faulty iteration. The fault-free iterations include receiving, from an individual training process of a plurality of parallel training processes, a reference signal. The reference signal is associated with completion, by the individual training process, of the individual iteration. The faulty iteration includes retrieving, responsive to determining that no reference signal has been received from one or more training processes, a state of training of the model from a memory device associated with a fault-free training process. The state of training is then used to cause the training of the model to be restarted.

Abstract: A method for controlling operations of a portable device through a touch-free user input in the portable device having a projector module is provided. To this end, once the projector module is driven, an application execution screen is projected through the projector module, and if a proximity event is detected, a camera module is activated to acquire an image from which a user gesture is recognized. The pointer on the projected image is controlled corresponding to the user gesture. The user gesture is used to dispatch an application as well as to control the pointer. In this way, a user may view an image projected from the projector module of the portable device without jittering while intuitively manipulate the portable device without touching the touch screen, such that user convenience is maximized.