Abstract: We consider deep neural networks (DNNs) with a Lipschitz continuous activation function and with weight matrices of variable widths. We establish a uniform convergence analysis framework in ...
Implement role-based access control for random generation functions, allowing only accounts with "Root" role to execute these functions in both production and testing environments. Current random ...
Abstract: Consensus algorithms that function in permissionless blockchain systems must randomly select new block proposers in a decentralised environment. Our contribution is a new blockchain ...
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