A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design

Experimental Design Techniquesin Statistical Practice: A Practical Software-Based Approach

Practical Secure Aggregation for Federated Learning on User-Held Data

Secure Aggregation protocols allow a collection of mutually distrust parties, each holding a private value, to collaboratively compute the sum of those values without revealing the values themselves. We consider training a deep neural network in the Federated Learning model, using distributed stochastic gradient descent across user-held training data on mobile devices, wherein Secure Aggregatio...

Practical statistical simulation for efficient circuit design

In wireless handset design, specifically power amplifiers (PAs), there is constant pressure to improve time-to-market while maintaining high yields. To meet these demands, designers need to evaluate current design practices and identify areas for improvement. Presently, some PA designers spend a great deal of time bench-tuning to optimize circuits. Because this is very time consuming, the main ...

A PRACTICAL WEIGHT OPTIMIZATION FOR MOMENT FRAMES UNDER COMBINED LOADING

This article introduces three simple ideas that lead to the efficient design of regular moment frames. The finite module concept assumes that the moment frame may be construed as being composed of predesigned, imaginary rectangular modules that fit into the bays of the structure. Plastic design analysis aims at minimizing the demand-capacity ratios of elements of ductile moment frames by induci...

Orange and Sunlight: A Recipe for Blisters