This paper solves an important problem left open in the literature by showing that U-shapes are unnecessary in iterative learning. A U-shape occurs when a learner first learns, t...
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
This paper presents an efficient protocol for securely computing the fundamental problem of pattern matching. This problem is defined in the two-party setting, where party P1 hold...
Rosario Gennaro, Carmit Hazay, Jeffrey S. Sorensen
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Wireless access has already become a ubiquitous way to connect to the Internet, but the mushrooming of wireless access infrastructures throughout the world has given rise to a wid...