FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge

EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources

A Self Bias-flip Piezoelectric Energy Harvester Array without External Energy Reservoirs achieving 488% Improvement with 4-Ratio Switched-PEH DC-DC Converter

Luminescence of Ce3+ at two different sites in ?-Sr2P2O7 under vacuum ultraviolet-UV and x-ray excitation

The Impact of Public Opinion Pressure on Construction Company Green Innovations: The Mediating Effect of Leaders' Environmental Intention and the Moderating Effect of Environmental Regulation

Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G

Large Region Targets Observation Scheduling by Multiple Satellites Using Resampling Particle Swarm Optimization

Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network

A Self-Bias-Flip with Charge Recycle Interface Circuit with No External Energy Reservoir for Piezoelectric Energy Harvesting Array

FedViT: Federated continual learning of vision transformer at edge

An online data driven fault diagnosis and thermal runaway early warning for electric vehicle batteries

Knitting 4D garments with elasticity controlled for body motion

Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge

Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs

Microstructural evolutions and impact toughness in simulated welding heat affected zones for a high-strength carbide-free bainitic rail steel

Rapid extraction of pavement aggregate gradation based on point clouds using deep learning networks

A Novel Composite Sensor for UHF Partial Discharge and Gas State Measurement in GIS

Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai-Tibet Plateau

SlimML: Removing Non- critical Input Data in Large-scale Iterative Machine Learning