Results 41 to 50 of about 1,704,441 (287)

The infectious intestinal disease study of England: a prospective evaluation of symptoms and health care use after an acute episode [PDF]

, 2003
The sequelae of Infectious Intestinal Disease (IID) in a population-based sample of cases and matched controls were investigated for a period of 3 months following the initial infection.
Rodrigues, L.C., Hudson, M.J., Cowden, JM, Wheeler, JG, Cumberland, P., Rodrigues, LC, Tompkins, D.S., Sethi, D., IID Study Executive, Hudson, MJ, Roderick, PJ, Tompkins, DS, Roderick, P.J., Roberts, JA, Wheeler, J.G., Roberts, J.A., Cumberland, P, Cowden, J.M., Sethi, D   +18 more
core   +1 more source

A Privacy-Preserving Collaborative Federated Learning Framework for Detecting Retinal Diseases

IEEE Access
The rapid advancement in technology has simplified human life and provides convenience. However, this convenience has led to many lifestyle diseases like diabetes and obesity.
Seema Gulati, Kalpna Guleria, Nitin Goyal, Ahmad Ali AlZubi, Angel Kuc Castilla   +4 more
doaj   +1 more source

FLY-SMOTE: Re-Balancing the Non-IID IoT Edge Devices Data in Federated Learning System

IEEE Access, 2022
In recent years, the data available from IoT devices have increased rapidly. Using a machine learning solution to detect faults in these devices requires the release of device data to a central server.
Raneen Younis, Marco Fisichella
doaj   +1 more source

Peer-to-peer deep learning with non-IID data

Expert Systems with Applications, 2023
Collaborative training of deep neural networks using edge devices has attracted substantial research interest recently. The two main architecture approaches for the training process are centrally orchestrated Federated Learning and fully decentralized peer-to-peer learning.
Robert Sajina, Nikola Tankovic, Ivo Ipsic   +2 more
openaire   +3 more sources

A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Pneumonia detection from chest X-rays remains one of the most challenging tasks in the traditional centralized framework due to the requirement of data consolidation at the central location raising data privacy and security concerns.
Shagun Sharma, Kalpna Guleria
doaj   +1 more source

Non-IID Learning for Recommendation, Time Series and Hashing [PDF]

, 2023
University of Technology Sydney. Faculty of Engineering and Information Technology.For several decades, the independent and identically distributed (short for IID) assumption has laid the foundation of data learning, simplifying real-world data's ...
Zhang, Qi
core  

Federated Transfer Learning for Rice-Leaf Disease Classification across Multiclient Cross-Silo Datasets

Agronomy, 2023
Paddy leaf diseases encompass a range of ailments affecting rice plants’ leaves, arising from factors like bacteria, fungi, viruses, and environmental stress.
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Rama Gautam, Fahad Alblehai, Magdy Elghatwary, Aman Singh   +6 more
doaj   +1 more source

Interictal Discharge Pattern in Preschool-Aged Children With Tuberous Sclerosis Complex Before and After Resective Epilepsy Surgery

Frontiers in Neurology, 2022
ObjectiveTo analyze the interictal discharge (IID) patterns on pre-operative scalp electroencephalogram (EEG) and compare the changes in IID patterns after removal of epileptogenic tubers in preschool children with tuberous sclerosis complex (TSC ...
Liu Yuan, Liu Yuan, Yangshuo Wang, Shuhua Cheng, Junchen Zhang, Shaohui Zhang, Tinghong Liu, Guojun Zhang, Guojun Zhang, Shuli Liang, Shuli Liang   +10 more
doaj   +1 more source

New‐Era Polymer Thermoelectrics: Material Innovations, Doping Frontiers, Decoupling Strategies, and Unconventional Applications

Advanced Materials, EarlyView.
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley   +1 more source

Low Precision Decentralized Distributed Training over IID and non-IID Data

, 2022
Decentralized distributed learning is the key to enabling large-scale machine learning (training) on edge devices utilizing private user-generated local data, without relying on the cloud.
Aketi, Sai Aparna, Roy, Kaushik, Kodge, Sangamesh   +2 more
core   +2 more sources