Results 91 to 100 of about 10,022,386 (288)
Business Strategy and the Environment, EarlyView.ABSTRACT Little is known about consumer preferences for combinations of circular business model patterns, despite their potential to benefit the design of product services. This study examines consumer preferences for product‐as‐a‐service offers, combined with circular product attributes, across Sweden and the Netherlands.
Steven Sarasini +5 more
wiley +1 more source
Privacy-preserving Quantification of Non-IID Degree in Federated Learning [PDF]
Federated learning (FL) offers a privacy-preserving approach to machine learning for multiple collaborators without sharing raw data. However, the existence of non-independent and non-identically distributed (non-IID) datasets across different clients ...
Jin, Yaochu +3 more
core +1 more source
ETRI JournalFederated learning enables collaborative model training across devices while preserving user privacy. However, the imbalanced class distribution in local datasets presents a challenge to global model accuracy. To address this problem, this paper proposes
Yan Zeng +8 more
doaj +1 more source
Mitigating Backdoor Attacks in Federated Learning Systems Under Non‑IID Data: A Comprehensive Survey
IJCI International Journal of Computers and InformationFederated Learning (FL) enables collaborative model training while preserving data privacy, but its decentralized nature exposes it to backdoor attacks, where malicious clients inject poisoned updates that embed hidden triggers into the global model ...
Ahmed Soliman +3 more
doaj +1 more source
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning [PDF]
Logical Methods in Computer ScienceIn the last years, Federated learning (FL) has become a popular solution to train machine learning models in domains with high privacy concerns. However, FL scalability and performance face significant challenges in real-world deployments where data ...
Davide Domini +3 more
doaj +1 more source
Realized Variance and IID Market Microstructure Noise [PDF]
We analyze the properties of a bias-corrected realized variance (RV) in the presence of iid market microstructure noise. The bias correction is based on the first-order autocorrelation of intraday returns and we derive the optimal sampling frequency as ...
Asger Lunde, Peter Reinhard Hansen
core
Business Strategy and the Environment, EarlyView.ABSTRACT The growing frequency of global crises has intensified concerns regarding climate vulnerability and the resilience of global production systems. This study examines the heterogeneous effects of supply chain development and supply chain digitalisation on climate vulnerability across countries, while accounting for institutional and investment ...
Ziwei Li +4 more
wiley +1 more source
Do Commodity Prices and Energy Markets Drive Asymmetric Volatility in Biodiversity Finance?
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines symmetric and asymmetric volatility spillovers among biodiversity finance, commodity prices, and energy markets using daily data from 2019 to 2025. We apply the Diebold–Yilmaz time–domain connectedness model, Baruník–Křehlík frequency–domain decomposition, and an asymmetric spillover framework.
Ijaz Younis +4 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Improving energy efficiency is a central pillar of climate mitigation strategies, energy security, and sustainable economic growth, particularly in energy‐intensive economies such as the United States. This study investigates the nonlinear and distribution‐dependent effects of energy prices, financial conditions, economic policy uncertainty ...
Busra Agan Celik
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