Results 71 to 80 of about 7,049,980 (289)
Federated learning has emerged as a promising approach for collaborative model training across distributed devices. Federated learning faces challenges such as Non-Independent and Identically Distributed (non-IID) data and communication challenges.
Basmah Alotaibi +2 more
doaj +1 more source
Multi-Level Coupling Network for Non-IID Sequential Recommendation
Sequential recommendation has been recently attracting a lot attention to suggest users with next items to interact. However, most of the traditional studies implicitly assume that users and items are independent and identically distributed (IID) and ...
Yatong Sun +3 more
doaj +1 more source
Decoupled Federated Learning for ASR with Non-IID Data
Automatic speech recognition (ASR) with federated learning (FL) makes it possible to leverage data from multiple clients without compromising privacy. The quality of FL-based ASR could be measured by recognition performance, communication and computation costs. When data among different clients are not independently and identically distributed (non-IID)
Han Zhu 0004 +4 more
openaire +2 more sources
Low Precision Decentralized Distributed Training over IID and non-IID Data
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 +2 more
core +1 more source
A Skills Gap Analysis of Farmer Directors of US Farmer Cooperatives
ABSTRACT Boards of directors are vital to firm performance and are an integral part of the decision‐making process of any business. Several studies have been conducted that observe corporate or nonprofit board characteristics, skills, and the board's connection to firm performance.
Jody S. Herchenbach +5 more
wiley +1 more source
In sentiment analysis, data are commonly distributed across many devices, and traditional machine learning requires transferring these data to a central location exposing data to security and privacy risks. Federated Learning (FL) avoids this transfer by
Davoud Gholamiangonabadi +1 more
doaj +1 more source
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah +4 more
wiley +1 more source
Nonlinear Distortion-Aware Channel Estimation Strategies for IRS-Aided MIMO Systems
The article addresses the challenges posed by nonlinear distortions in Intelligent Reflecting Surface (IRS)-assisted Multiple-Input Multiple-Output (MIMO) systems, which are often overlooked in conventional channel estimation strategies.
D. L. Sharini +3 more
doaj +1 more source
How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan +3 more
wiley +1 more source
The study of infectious intestinal disease in England: socio-economic impact [PDF]
To assess the socio-economic impact of infectious intestinal disease (IID) on the health care sector, cases and their families, cases of IID ascertained from a population cohort component and those presenting to general practices were sent a socio ...
Rodrigues, L.C. +14 more
core +1 more source

