Recent years have seen the introduction of a range of methods for post-h...
Distributed multi-task learning provides significant advantages in
multi...
Distributed diffusion is a powerful algorithm for multi-task state estim...
In this paper, we study resilient distributed diffusion for multi-task
e...
Learning-enabled components (LECs) are widely used in cyber-physical sys...
Accurate temporal action proposals play an important role in detecting
a...
In this technical report, we describe our solution to temporal action
pr...