Results 81 to 90 of about 6,308,360 (314)

Research advances on privacy protection of federated learning

大数据, 2021
To this end, many laws and regulations on privacy protection have been introduced, and the phenomenon of data-island has become a major bottleneck hindering the development of big data and artificial intelligence technology.Federated learning has ...
Jianzong WANG, Lingwei KONG, Zhangcheng HUANG, Linjie CHEN, Yi LIU, Chunxi LU, Jing XIAO   +6 more
doaj  

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Fast Server Learning Rate Tuning for Coded Federated Dropout

, 2023
In Federated Learning (FL), clients with low computational power train a common machine model by exchanging parameters via updates instead of transmitting potentially private data.
Maguire Jr., Gerald Q.,, Chiesa, Marco,, Verardo, Giacomo, Chiesa, Marco, Barreira, Daniel, Verardo, Giacomo,, Kostic, Dejan,, Kostic, Dejan, Maguire, Gerald Q., Barreira, Daniel,   +9 more
core   +1 more source

Federated Learning Playground

Proceedings of the AAAI Conference on Artificial Intelligence
We present Federated Learning Playground, an interactive browser-based platform inspired by and extends TensorFlow Playground that teaches core Federated Learning (FL) concepts. Users can experiment with heterogeneous client data distributions, model hyperparameters, and aggregation algorithms directly in the browser without coding or system setup, and
Bryan Shan Guanrong, Alysa Ziying Tan, Han Yu 0001   +2 more
openaire   +2 more sources

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

Federated Learning Project

Federated Learning ProjectPlease cite the following works when using this ...
Althunayyan, Muzun
core   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

An Watermarking Framework of Active Protection Model for Secure Federated Learning [PDF]

Jisuanji gongcheng
As a new paradigm in deep learning, federated learning allows multiple parties to jointly train deep learning models while ensuring that data remains on the clients' local devices.
CHEN Xianyi, DING Sizhe, WANG Kang, YAN Leiming, FU Zhangjie
doaj   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

nicolasfara/experiments-2024-ACSOS-opportunistic-federated-learning: 1.3.0

<h2><a href="https://github.com/nicolasfara/experiments-2024-ACSOS-opportunistic-federated-learning/compare/1.2.0...1.3.0">1.3.0</a> (2024-04-19)</h2> <h3>Features</h3> <ul> <li>add accuracyBasedMetric (<
Semantic Release Bot, Gianluca Aguzzi, Davide Domini, Nicolas Farabegoli   +3 more
core   +1 more source