Results 131 to 140 of about 1,704,441 (287)
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization
, 2023 Federated learning algorithms perform reasonably well on independent and identically distributed (IID) data. They, on the other hand, suffer greatly from heterogeneous environments, i.e., Non-IID data.
Shin, Bonggun, Kim, Yeachan
core +1 more source
International Journal of Finance &Economics, EarlyView.ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho +3 more
wiley +1 more source
Drowsiness Detection Using Federated Learning: Lessons Learnt from Dealing with Non-IID Data [PDF]
The privacy of personal data is paramount in the realm of assisted living and digital healthcare. Federated Learning (FL), with its decentralised model training approach, has emerged as a compelling solution to reconcile the need for personalised models ...
Dautov, Rustem, Husom, Erik Johannes
core +1 more source
Impact of Sovereign Debt Maturity on Fiscal Sustainability
International Journal of Finance &Economics, EarlyView.ABSTRACT This study is the first to investigate the impact of the term structure of public debt on fiscal sustainability. We adopt the widely used backward‐looking measure of fiscal sustainability—fiscal responsiveness as proposed by Bohn. Using data from De Graeve and Mazzolini and focusing on a sample of 19 most developed countries, we demonstrate ...
António Afonso +3 more
wiley +1 more source
Privacy-preserved learning from non-iid data in fog-assisted IoT: A federated learning approach
, 2022 Privacy-preserved learning from non-iid data in fog-assisted IoT: A federated learning ...
Mohamed Abdel-Basset (5152634) +4 more
core
The Impact of Economic Growth on Insurance (Growth)
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper investigates the impact of economic growth on insurance (growth), focusing on the outflow side of the insurance activity, as captured by benefits (including commissions and expenses). The findings provide evidence that economic growth does exert a positive, statistically significant impact on the benefit side of insurance (growth ...
Nicholas Apergis +2 more
wiley +1 more source
Alexandria Engineering JournalFederated Learning (FL) enables collaborative model training across decentralized, privacy-sensitive environments but often suffers from slow convergence, unbalanced client selection, and non‑IID data challenges.
Maha Jawad Alfadhil +5 more
doaj +1 more source
Chromatic PAC-Bayes Bounds for Non-IID Data.
, 2009 Pac-Bayes bounds are among the most accurate generalization bounds for classifiers learned with \iid data, and it is particularly so for margin classifiers. However, there are many practical cases where the training data show some dependencies and where the traditional \iid assumption does not apply.
Ralaivola, Liva +2 more
openaire +2 more sources
Land Use Policy and Racial Segregation
International Studies of Economics, EarlyView.ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley +1 more source
An Overview of Autonomous Connection Establishment Methods in Peer-to-Peer Deep Learning
IEEE AccessThe exchange of model parameters between peers is critical in peer-to-peer deep learning. Historically, connections between agents were assigned randomly based on network topology.
Robert Sajina +2 more
doaj +1 more source