Most of today’s real-time embedded systems consist of a heterogeneous mix of fully-programmable processors, fixed-function components or hardware accelerators, and partially-pr...
Abstract -- Telecommunication network management applications often require application-specific ICs that use large dynamically allocated stored data structures. Currently availab...
Gjalt G. de Jong, Bill Lin, Carl Verdonck, Sven Wu...
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
—Robotic middlewares increasingly allow the seamless integration of multiple heterogeneous robots into one distributed system. With the inclusion of ambient intelligence and perv...
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...