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

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The efficiency and resolution of dispersive spectrometers play crucial roles in ...

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Deep learning provides new ideas for chemical process fault diagnosis, reducing ...

Identifying the right accessories for installing the dental implant is a vital element that impacts the sustainability and the reliability of the dental prosthesis when the medical case of a patient ...

It introduces a simple, fast and scalable LE-PDE method to accelerate the simulation and inverse optimization of PDEs, which are crucial in many scientific and engineering applications (e.g., weather ...

Deep learning is emerging as a powerful approach for bioimage analysis. Its use in cell tracking is limited by the scarcity of annotated data for the training of deep-learning models. Moreover, ...

A large Raman dataset collected on a variety of viruses enables the training of machine learning (ML) models capable of highly accurate and sensitive virus identification. The trained ML models can ...