Results 161 to 170 of about 7,049,980 (289)

Labor Market Institutions, Fiscal Multipliers, and Macroeconomic Volatility

Journal of Applied Econometrics, EarlyView.
ABSTRACT How do labor market institutions shape the transmission of government spending shocks and macroeconomic volatility? We develop a theoretical model in which labor market institutions affect fiscal transmission through their effect on wage rigidity, job separation, and matching frictions.
Maximilian Boeck, Jesús Crespo Cuaresma, Christian Glocker   +2 more
wiley   +1 more source

A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions

Federated learning (FL), as a machine learning framework, has garnered substantial attention from researchers in recent years. FL makes it possible to train a global model through coordination by a central server while ensuring the privacy of data on ...
Xiulai Li (20258019), Ji He (40669), Wenhai Lu (12750431), Jieren Cheng (20258016)   +3 more
core  

Advanced Optimization Techniques for Federated Learning on Non-IID Data

Federated learning enables model training on multiple clients locally, without the need to transfer their data to a central server, thus ensuring data privacy.
Filippos Efthymiadis, Christos Karras, Aristeidis Karras, Spyros Sioutas   +3 more
core   +1 more source

Gender, Stereotypes, and Competitive Performance Gap: An Experimental Investigation

Managerial and Decision Economics, EarlyView.
ABSTRACT This study investigates how participants in competition react to gender stereotypes in performance. We propose two novel gender‐oriented tasks: clicking as a male‐oriented task and face recall as a female‐oriented task with two treatment conditions, which can strengthen shared gender stereotypes and foster gender competition.
Jaesun Lee, Ming Jiang, SeEun Jung
wiley   +1 more source

Intrusion detection method for IoT in heterogeneous environment

Tongxin xuebao
In 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   +2 more sources

Feature matching data synthesis for non-IID federated learning

Federated learning (FL) has emerged as a privacy-preserving paradigm that trains neural networks on edge devices without collecting data at a central server.
Sun, Yuchang, Mao, Yuyi, Shao, Jiawei, Wang, Jessie Hui, Li, Zijian, Zhang, Jun   +5 more
core   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

FedPLC: Federated Learning with Dynamic Cluster Adaptation for Concept Drift on Non-IID Data. [PDF]

Sensors (Basel)
Zhou Q, Yu Y, Ma J, Obaidat MS, Chang X, Ma M, Sun S.   +6 more
europepmc   +1 more source

Fractional Moment Theory for Anomalous Transport: A Unified Framework for Lévy Flights, Fractals, and Complex Dynamical Systems

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley   +1 more source

A new adaptive federated learning approach for privacy preserving UAV anomaly detection under non-IID distributions. [PDF]

Sci Rep
Bithi M, Masud ME, Hossain MA.
europepmc   +1 more source