Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

We present a general variational framework for the training of freeform nonlinearities in layered computational architectures subject to some slope constraints. The regularization that we add to the traditional training loss penalizes the second-order tota ...

Emotion is an increasingly important concept in ethics, education, and engineering. It is also important for the intersection of these three domains: engineering ethics education. Despite extensive research being conducted independently in each field, ther ...

Neural Networks (NNs), renowned for their universal approximation capabilities, have proven well-suited for parametrizing nonlinear control policies and modeling complex processes from available data. However, several NN architectures are physics-agnostic, ...

First-generation students (FGS) are traditionally underrepresented in higher education, including engineering education. To ensure equity in access and success in engineering, and thereby ensure that we educate responsible engineers who come from a diversi ...

This paper presents a detailed comparative analysis of two data-driven probabilistic forecasting methods - a density-based Empirical Copula (EC) and a non-parametric Quantile Regression (QR) - in the context of load forecasting for day-ahead market applica ...

Implanted medical devices (IMDs) have been widely developed to support the monitoring and recording of biological data inside the body or brain. Wirelessly powered IMDs, a subset of implantable electronics, have been proposed to eliminate the limitations r ...

We consider the problem of learning to play a repeated contextual game with unknown reward and unknown constraints functions. Such games arise in applications where each agent’s action needs to belong to a feasible set, but the feasible set is a priori unk ...

The need to produce more sustainable concrete is proving imminent given the rising environmental concerns facing the industry. Blended cement concrete, based on any of the prominent supplementary cementitious materials (SCMs) such as fly ash, ground granul ...

Integrated optics has shown itself very convenient for exploiting nonlinear processes as it results in high confinement factor, freedom of dispersion engineering and compactness. However, the choice of materials is crucial for the development of nonlinear ...

The sharing economy (SE) has gained attention in recent years in both academia and practice. This derives from the economic and social benefits that are often attributed to it, but also from its limited anticipated environmental impacts. However, its role ...

Cycles are one of the fundamental subgraph patterns and being able to enumerate them in graphs enables important applications in a wide variety of fields, including finance, biology, chemistry, and network science. However, to enable cycle enumeration in r ...

Professional skills of project planning, risk analysis, ethical design, communication, and working in interprofessional teams are now recognised as core engineering skills. Frequently, they are addressed in engineering education through team projects. Howe ...

Omnidirectional video streaming is usually implemented based on the representations of tiles, where the tiles are obtained by splitting the video frame into several rectangular areas and each tile is converted into multiple representations with different r ...

The use of meteorological radars to study snowfall microphysical properties and processes is well established, in particular via a few distinct techniques: the use of radar polarimetry, of multi-frequency radar measurements, and of the radar Doppler spectr ...

This paper investigates the use of relaxed recentered logarithmic barrier functions in the context of nonlinear model predictive control. These functions are a variation of the regular log-barrier functions that are introduced in the objective function of ...

Intracranial hemorrhage (ICH) is a common finding in traumatic brain injury (TBI) and computed tomography (CT) is considered the gold standard for diagnosis. Automated detection of ICH provides clinical value in diagnostics and in the ability to feed robus ...

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

Chat with Graph Search

Controlled learning of pointwise nonlinearities in neural-network-like architectures

Emotions in Engineering Ethics Education: Systematic Review and Ways Forward

Dependable learning and control through Neural ODEs

The Road Not Taken: How First-Generation Students Differ in Their Postgraduate Educational Paths

A Comparative Analysis of Empirical Copula and Quantile Regression Methods for Probabilistic Load Forecasting

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Multi-Agent Learning in Contextual Games under Unknown Constraints

Data-driven optimization tool for the functional, economic, and environmental properties of blended cement concrete using supplementary cementitious materials

Hybrid lithium niobate-on-silicon nitride platform for mid-IR supercontinuum generation

Drivers and barriers to participation in the sharing economy: Does the environment really matter? A systematic review of 175 scientific articles

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-constrained Cycles

The development, validation and use of an interprofessional project management questionnaire in engineering education

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

Relaxed Recentered Log-Barrier Function based Nonlinear Model Predictive Control

Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans