FLEET: Online Federated Learning via Staleness Awareness and Performance Prediction

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The Joint Photographic Experts Group (JPEG) AI learning-based image coding system is an ongoing joint standardization effort between International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), and International Te ...

A large body of work shows that machine learning (ML) models can leak sensitive or confidential information about their training data. Recently, leakage due to distribution inference (or property inference) attacks is gaining attention. In this attack, the ...

Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be ...

The numerical solution of singular eigenvalue problems is complicated by the fact that small perturbations of the coefficients may have an arbitrarily bad effect on eigenvalue accuracy. However, it has been known for a long time that such perturbations are ...

We present a loosely coupled scheme for the numerical simulation of the cardiac electrofluid-structure interaction problem, whose solution is typically computationally intensive due to the need to suitably treat the coupling of the different submodels. Our ...

Embroidery is a long-standing and high-quality approach to making logos and images on textiles. Nowadays, it can also be performed via automated machines that weave threads with high spatial accuracy. A characteristic feature of the appearance of the threa ...

We study the optimization of large-scale, real-time ridesharing systems and propose a modular design methodology, Component Algorithms for Ridesharing (CAR). We evaluate a diverse set of CARs (14 in total), focusing on the key algorithmic components of rid ...

We propose a versatile framework based on random search, Sparse-RS, for score-based sparse targeted and untargeted attacks in the black-box setting. Sparse-RS does not rely on substitute models and achieves state-of-the-art success rate and query efficienc ...

Social Engagement is a novel business model transforming final users of a service from passive into active components. In this framework, people are contacted by a company and they are asked to perform tasks in exchange for a reward. This arises the compli ...

Optimizing resource utilization in target platforms is key to achieving high performance during DNN inference. While optimizations have been proposed for inference latency, memory footprint, and energy consumption, prior hardware-aware neural architecture ...

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This paper develops high-order accurate entropy stable (ES) adaptive moving mesh finite difference schemes for the two- and three-dimensional special relativistic hydrodynamic (RHD) and magnetohydrodynamic (RMHD) equations, which is the high-order accurate ...

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Millimeter wave (mmWave) radars are becoming a more popular sensing modality in self-driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack sufficient spatial resolution for semantic scene understanding. In this pa ...

As IoT applications gain widespread adoption, it becomes important to design and implement IoT protocols with security. Existing research in protocol security reveals that the majority of disclosed protocol vulnerabilities are caused by incorrectly impleme ...

Volumetric representations are popular in inverse rendering because they have a simple parameterization, are smoothly varying, and transparently handle topology changes. However, incorporating the full volumetric transport of light is costly and challengin ...

FLEET: Online Federated Learning via Staleness Awareness and Performance Prediction

Chattez avec Graph Search

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

Human-machine interface for two-dimensional steering control with the auricular muscles

Singular quadratic eigenvalue problems: linearization and weak condition numbers

A stable loosely-coupled scheme for cardiac electro-fluid-structure interaction

Directionality-Aware Design of Embroidery Patterns

Putting ridesharing to the test: efficient and scalable solutions and the power of dynamic vehicle relocation

Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks

A chance-constraint approach for optimizing Social Engagement-based services

Preface-Special Issue on Misinformation on the Web

On the transition times in a loss model of wireless networks

U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search

BLURtooth: Exploiting Cross-Transport Key Derivation in Bluetooth Classic and Bluetooth Low Energy

High-order accurate entropy stable adaptive moving mesh finite difference schemes for special relativistic (magneto)hydrodynamics

OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

tweedledum: A Compiler Companion for Quantum Computing

Radatron: Accurate Detection Using Multi-resolution Cascaded MIMO Radar

PROFACTORY: Improving IoT Security via Formalized Protocol Customization

Unbiased Inverse Volume Rendering with Differential Trackers