Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server. Despite rapid progress, federated learning still faces several unsolved challenges. Specifically, communication costs and system heterogeneity, such as nonidentical data distribution,
Jamshid Tursunboev +4 more
wiley +1 more source
Robust federated learning for cloud environments using evolutionary optimization and blockchain. [PDF]
Sci RepPanimalar SP, Gunasundari S.
europepmc +1 more source
Federated Random Forest on Non-IID Data
KIISE Transactions on Computing PracticesPenjan Antonio Eng Lim, Cheong-Hee Park
openaire +1 more source
Signal‐to‐noise and spatial resolution in in‐line imaging. 3. Optimization using a simple model
Journal of Synchrotron Radiation, EarlyView.Geometrical magnification and X‐ray energy are optimized with respect to spatial resolution, contrast, noise, radiation dose and other image quality characteristics. The optimization is performed using a simple theoretical model of a homogeneous edge feature embedded in a bulk uniform sample, and the resulting generic analytical expressions for image ...
Timur E. Gureyev +2 more
wiley +1 more source
A Structural Model of Mortgage Offset Accounts in the Australian Housing Market*
Economic Record, EarlyView.I study a novel institutional feature of Australian housing markets: the widespread use of mortgage offset accounts. These accounts reduce mortgage interest costs and increase mortgage liquidity. I build a heterogeneous agent life‐cycle model of the Australian housing market to study who uses and benefits from these mortgage products.
James Graham
wiley +1 more source
Intrusion detection method for IoT in heterogeneous environment
Tongxin xuebaoIn order to address the issue of inadequate training efficiency and subpar model performance encountered by Internet of things (IoT) devices when dealing with resource constraints and non-independent and identically distributed (Non-IID) data, a novel ...
LIU Jing, MU Zelin, LAI Yingxu
doaj
Randomized Trial Shows Smartphone Support App for DWI Offenders and Their Families Reduced Alcohol Use and Ignition Interlock Device Lockouts. [PDF]
J Stud Alcohol DrugsWoodall WG +7 more
europepmc +1 more source
Journal of Agricultural Economics, EarlyView.ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen +6 more
wiley +1 more source
DualMask: Federated optimization of privacy-utility-efficiency trilemma via orthogonal gradient perturbation and RL-optimized PSO. [PDF]
PLoS OneZhou W, Li C, Li R, Huang D.
europepmc +1 more source
Efficient statistical inference of turning points in animal movement data
Methods in Ecology and Evolution, EarlyView.Abstract Recent years have seen a proliferation of high‐frequency animal movement data, often at greater than 1 Hz, allowing us to gain much greater insight into behaviour than with lower frequency data. In particular, it is becoming possible to detect the precise points at which animals are making decisions to turn, thus placing the idea that the ...
Abdulmajeed F. Alharbi +5 more
wiley +1 more source