FL-Byzantine-Library/ ├── main.py # Entry point — training loop orchestration ├── fl.py # FL coordinator (training, aggregation, evaluation) ├── client.py # Client class (local training, optimizer ...

Existing supply chain information security methods all suffer from the difficulty of balancing information sharing efficiency and information privacy protection. Data is prone to leakage, resulting in ...

Abstract: Adaptive threshold compressive sensing (ATCS) algorithm using adaptive clipping threshold and compressive sensing (CS) has been proposed to mitigate the asynchronous impulsive noise in ...

Abstract: We introduce a context for testing computational color constancy, specify our approach to the implementation of a number of the leading algorithms, and report the results of three ...

Due to the influence of construction quality, engineering geology and hydrological environment, defects such as dehollowing and insufficient compaction can occur in tunnels. Aiming at the problems of ...

Visual computing tasks such as 3D graphics and image processing are increasingly important to the capabilities and overall user experience delivered by computer systems ranging from high-end ...

SINGAPORE – TikTok’s algorithm steers Ms Eva Daneesyah to food recommendations, travel vlogs and the occasional stand-up comedy clip. So a May 2023 job advertisement by an ice-cream shop stood out to ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer ...

SINGAPORE – FairPrice customers will be trusted to scan a barcode to pay five cents for every plastic bag they take at self-checkout counters from July 3, when the mandatory plastic bag charge kicks ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Designing molecular structures with desired chemical properties is an essential task ...

Neuromorphic computing algorithms based on Spiking Neural Networks (SNNs) are evolving to be a disruptive technology driving machine learning research. The overarching goal of this work is to develop ...