FLEET: Online Federated Learning via Staleness Awareness and Performance Prediction

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In this paper we introduce and study the STREAMINGCYCLES problem, a random order streaming version of the Boolean Hidden Hypermatching problem that has been instrumental in streaming lower bounds over the past decade. In this problem the edges of a graph G ...

Natural language processing models learn word representations based on the distributional hypothesis, which asserts that word context (e.g., co-occurrence) correlates with meaning. We propose that n-grams composed of random character sequences, or garble, ...

Cars are some of the most security-critical consumer devices. On the one hand, owners expect rich infotainment features, including audio, hands-free calls, contact management, or navigation through their connected mobile phone. On the other hand, the infot ...

Physically-based differentiable rendering has recently emerged as an attractive new technique for solving inverse problems that recover complete 3D scene representations from images. The inversion of shape parameters is of particular interest but also pose ...

The projection of sample measurements onto a reconstruction space represented by a basis on a regular grid is a powerful and simple approach to estimate a probability density function. In this paper, we focus on Riesz bases and propose a projection operato ...

In this article, we investigate the approximation ability of recurrent neural networks (RNNs) with stochastic inputs in state space model form. More explicitly, we prove that open dynamical systems with stochastic inputs can be well-approximated by a speci ...

The relation between brain functional activity and the underlying structure is complex and varies depending on the specific brain region. Recently, we used graph signal processing to introduce the structural-decoupling index (SDI), a novel metric quantifyi ...

The aim of this paper is to serve as a lightweight introduction to concurrency control for database theorists through a uniform presentation of the work on robustness against Multiversion Read Committed and Snapshot Isolation. ...

This article examines the importance of integrating locomotion and cognitive information for achieving dynamic locomotion from a viewpoint combining biology and ecological psychology. We present a mammalian neuromusculoskeletal model from external sensory ...

FLEET: Online Federated Learning via Staleness Awareness and Performance Prediction

Chattez avec Graph Search

Factorial Lower Bounds for (Almost) Random Order Streams

Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models

On the Insecurity of Vehicles Against Protocol-Level Bluetooth Threats

Differentiable Signed Distance Function Rendering

Bona Fide Riesz Projections For Density Estimation

Recurrent Neural Networks Are Universal Approximators With Stochastic Inputs

Brain structure-function coupling is unique to individuals across multiple frequency bands: a graph signal processing study

Concurrency control for database theorists

Combining Reflexes and External Sensory Information in a Neuromusculoskeletal Model to Control a Quadruped Robot