Results 61 to 70 of about 1,704,441 (287)
Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector
Agribusiness, EarlyView.Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli +2 more
wiley +1 more source
Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning
, 2023 In science, technology, engineering, and their applications, a ubiquitous assumption is independent and identically distributed (i.i.d. or IID).
Cao, L
core +1 more source
Agribusiness, EarlyView.Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source
Non-IID representation learning on complex categorical data [PDF]
, 2019 University of Technology Sydney. Faculty of Engineering and Information Technology.Learning complex categorical data requires proper vector or metric representations of the intricate characteristics of that data.
Zhu, Chengzhang
core
A Distributed Privacy Preserved Federated Learning Approach for Revolutionizing Pneumonia Detection in Isolated Heterogenous Data Silos [PDF]
International Journal of Mathematical, Engineering and Management SciencesPneumonia is a respiratory lung contamination that ranges in severity from mild to lethal outcomes. The analysis of tomographic images is the most significant method of pneumonia detection.
Shagun Sharma, Kalpna Guleria
doaj +1 more source
Overcoming Forgetting in Federated Learning on Non-IID Data
CoRR, 2019 We tackle the problem of Federated Learning in the non i.i.d. case, in which local models drift apart, inhibiting learning. Building on an analogy with Lifelong Learning, we adapt a solution for catastrophic forgetting to Federated Learning. We add a penalty term to the loss function, compelling all local models to converge to a shared optimum. We show
Neta Shoham +6 more
openaire +2 more sources
Mitigating non-IID data impact in federated learning with entropy
, 2023 Algoritmos de Machine Learning (ML) possibilitam processar um conjunto de dados de entradas para gerar coeficientes que ajustem a saída a um resultado previamente conhecido, como menor erro possível, fazendo com que seja possível reconhecer e extrair ...
Orlandi, Fernanda Cavalheiro
core
The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics
Agribusiness, EarlyView.ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley +1 more source
ProFed: A Benchmark for Proximity-Based Non-IID Federated Learning
Journal of Open Research SoftwareFederated Learning (FL) has emerged as a key paradigm in machine learning but its performance often deteriorates under non-independent and identically distributed (non-IID) client data.
Davide Domini +4 more
doaj +1 more source
Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
Agribusiness, EarlyView.ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
wiley +1 more source