Essays about: "FEDn"

Found 4 essays containing the word FEDn.

  1. 1. Dynamic API proposal to investigate and improve federated learning scalability

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gergely Módi; [2023]
    Keywords : ;

    Abstract : Federated learning is an inherently distributed approach to machine learning since the data and the learning process stay on the client's devices. Even though it may suggest that the whole process can be fully distributed, that is not a trivial problem to solve since a global consensus model needs to be maintained and redistributed to its peers. READ MORE

  2. 2. A Comprehensive study on Federated Learning frameworks : Assessing Performance, Scalability, and Benchmarking with Deep Learning Model

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Riyas Hamsath Mohammed Khan; [2023]
    Keywords : Machine Learning; Federated Learning; Flower; FedN; FedML; Decentralised AI;

    Abstract : 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

  3. 3. Federated Learning for edge computing : Real-Time Object Detection

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Ardit Memia; [2023]
    Keywords : Federated Learning; Artificial Intelligence; Machine Learning; Edge computing; Object Detection; Decentralized AI;

    Abstract : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. READ MORE

  4. 4. Federated Learning with FEDn for Financial Market Surveillance

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Isak Voltaire Edoh; [2022]
    Keywords : machine learning; federated learning; privacy; market surveillance; financial markets; fraud detection; spoofing; market abuse; market manipulation; LSTM; FEDn;

    Abstract : Machine Learning (ML) is the current trend that most industries opt for to improve their business and operations. ML has also been adopted in the financial markets, where well-funded financial institutions employ the latest ML algorithms to gain an advantage on the market. READ MORE