PRIVACY AND TRUST REDEFINED IN FEDERATED MACHINE LEARNING

Privacy and Trust Redefined in Federated Machine Learning

A common privacy issue in traditional machine learning is that data needs to be disclosed for the training procedures.In situations with highly sensitive data such as healthcare records, accessing this information is challenging and often prohibited.Luckily, privacy-preserving technologies have been developed to overcome this hurdle by distributing

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Understanding the impact of expertise on compassion fatigue in counseling via core self-evaluation and resilience

Abstract Compassion fatigue is a prevalent challenge experienced by helping Middle Eastern professionals, influencing both their personal well-being and the quality of services they deliver.While the beneficial impact of expertise in counseling on alleviating compassion fatigue has been established, limited research has investigated this associatio

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PENINGKATAN TINGKAT KEPUASAN DOSEN TERHADAP KUALITAS PELAYANAN PELATIHAN JURNAL BERKUALITASMELALUI METODE SERVQUAL

This study aims to provide information on the level of satisfaction of trainees Journal service quality training quality and the most KITCHEN influential factor in the region Ko3f gpertis III.Methods of data collection in this study using the registration documentation (questionnaires), interviews and observations.Data were analyzed using descripti

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