Essays about: "large scale distributed deep learning"
Showing result 1 - 5 of 6 essays containing the words large scale distributed deep learning.
-
1. A Comprehensive study on Federated Learning frameworks : Assessing Performance, Scalability, and Benchmarking with Deep Learning Model
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Federated Learning now a days has emerged as a promising standard for machine learning model training, which can be executed collaboratively on decentralized data sources. As the adoption of Federated Learning grows, the selection of the apt frame work for our use case has become more important. READ MORE
-
2. Data-driven cyberattack detection for microgrids
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Microgrids are undergoing higher penetrations of renewables and associated power electronics, along with precise and sophisticated control and communication networks. However, such cyber-physical systems might suffer from potential cybersecurity threats and inherent low inertia. READ MORE
-
3. Decentralized Large-Scale Natural Language Processing Using Gossip Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Natural Language Processing in machine learning has seen rising popularity and use in recent years. The nature of Natural Language Processing, which deals with natural human language and computers, has led to the research and development of many algorithms that produce word embeddings. READ MORE
-
4. Decentralizing Large-Scale Natural Language Processing with Federated Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Natural Language Processing (NLP) is one of the most popular and visible forms of Artificial Intelligence in recent years. This is partly because it has to do with a common characteristic of human beings: language. READ MORE
-
5. Managed Distributed TensorFlow with YARN : Enabling Large-Scale Machine Learning on Hadoop Clusters
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Apache Hadoop is the dominant open source platform for the storage and processing of Big Data. With the data stored in Hadoop clusters, it is advantageous to be able to run TensorFlow applications on the same cluster that holds the input data sets for training machine learning models. READ MORE