Sökning: "distributed problem based learning"
Visar resultat 1 - 5 av 38 avhandlingar innehållade orden distributed problem based learning.
1. Problem-based and conventional medical education from a student perspective : a qualitative analysis comparing students' experience of medical education, approach to learning and reading comprehension
Sammanfattning : The study is primarily an empirical investigation to students' experiences of university education, approaches to learning and comprehension of a learning task. Sixty medical students, equally distributed over a PBL and a traditional medical school have participated in this study. LÄS MER
2. Reliable and Efficient Distributed Machine Learning
Sammanfattning : With the ever-increasing penetration and proliferation of various smart Internet of Things (IoT) applications, machine learning (ML) is envisioned to be a key technique for big-data-driven modelling and analysis. Since massive data generated from these IoT devices are commonly collected and stored in a distributed manner, ML at the networks, e.g. LÄS MER
3. Ultra-Reliable and Resilient Communication Service for Cyber-Physical Systems
Sammanfattning : Cyber-Physical Systems (CPSs) are becoming ubiquitous in modern society, enabling new applications that rely on the seamless interaction between computing, communication, and physical processes. In this context, ultra-reliable low-latency communications (URLLC) emerges as a crucial element, reliably allowing the real-time exchange of critical data. LÄS MER
4. Distributed problem-based learning: studies of a pedagogical model in practice
Sammanfattning : Not available.... LÄS MER
5. First-Order Algorithms for Communication Efficient Distributed Learning
Sammanfattning : Innovations in numerical optimization, statistics and high performance computing have enabled tremendous advances in machine learning algorithms, fuelling applications from natural language processing to autonomous driving.To deal with increasing data volumes, and to keep the training times of increasingly complex machine learning models reasonable, modern optimization algorithms distribute both data and computations over a large number of machines. LÄS MER