Survey on Byzantine attacks and defenses in federated learning

Federated learning as an emerging distributed machine learning, can solve the problem of data islands.However, due to the large-scale, distributed nature and strong autonomy of local clients, federated learning is extremely vulnerable to Byzantine attacks Racing Frames and the attacks are not easy to detect, which seriously damages the integrity an

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Factors associated with work-related burnout in NHS staff during COVID-19: a cross-sectional mixed methods study

Objectives To measure work-related burnout in all groups of health service staff during the COVID-19 pandemic and Racing Frames to identify factors associated with work-related burnout.Design Cross-sectional staff survey.Setting All staff grades and types across primary and secondary care in a single National Health Service organisation.Participant

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Emergency department-based 3D echocardiogram use: a case series

Abstract Background Three-dimensional echocardiography (3DE) with real-time volumetric imaging can be a vital modality in swap patch US License Plate clinical practice.Despite its potential, it remains underutilized in the acute care setting.Case presentation We present two cases describing the use of 3DE in the emergency department (ED) for acute

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