Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
We propose a simple framework for analyzing feedforward queueing networks that have the following features: each customer belongs to a (customer) flow and the route that a custom...
— We consider feed-forward packet switched networks with fixed routing and random congestion losses. Users of the network are assumed to be greedy in the sense that each user in...
—Revocation of public-key certificates is an important security primitive. In this paper, we design a fully distributed local certificate revocation scheme for ephemeral networ...
Igor Bilogrevic, Mohammad Hossein Manshaei, Maxim ...
Abstract— The study of protocol behavior and traffic characteristics in a simulated environment is commonly supported by ad-hoc or general purpose simulators (e.g., Opnet, NS-2)...