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SENSIBILITÉ develops a new theory for distributed computing of nonlinear functions across communication networks. It aims to enhance scalability and efficiency in processing correlated messages, enabling advanced applications like internet-of-things computing and real-time holographic communications.
SENSIBILITÉ describes a novel theory for distributed computing of nonlinear functions over communication networks.
Motivated by the long-lasting open challenge to invent technologies that scale with the network size, this intriguing and far-reaching theory elevates distributed encoding and joint decoding of information sources, to the critical network computing problem for a class of network topologies and a class of nonlinear functions of dependent sources.
Our theory will elevate distributed c…
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