Abstract: Stochastic optimization algorithms are widely used to solve large-scale ... To address this issue, we perform a comprehensive convergence rate analysis of stochastic gradient descent (SGD) ...

The FedSPD-DP algorithm leverages multiple steps of local stochastic gradient descent (SGD) and partial client participation (PCP) to improve communication efficiency while incorporating differential ...

ABSTRACT: As drivers age, roadway conditions may become more challenging, particularly when normal aging is coupled with cognitive decline. Driving during lower visibility conditions, such as ...

A new technical paper titled “Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent” was published by researchers at Imperial College London. “The rapid ...

Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who owns books and at least one shelf. The algorithm addresses ...

The expanded probe by the European Commission, announced on Friday, requires X to hand over internal documents regarding its recommendation algorithm. The Commission also issued a “retention ...

Stochastic cooling is a feedback system comprising two components: a detector or pick up which measures the motion of the particles and a corrector, the kicker, which adjusts their angles. When the ...

nblocks (int): Packing several blocks as one for tuning together (default is 1). gradient_accumulate_steps (int): Number of gradient accumulation steps (default is 1). low_gpu_mem_usage (bool): ...

Methods: In this paper, we propose a new SSVEP paradigm visual fatigue quantification algorithm based on underdamped second-order stochastic resonance (USSR) to accurately quantify visual fatigue ...