Results 81 to 90 of about 72,357 (237)
Federated transfer learning for distributed drought stage prediction
Discover Artificial IntelligenceDue to the uncertain nature of drought, it is one of the most menacing natural disasters. Drought modeling (Prediction, Detection, Forecasting, and Stage Prediction) is very essential for efficient policy making.
Muhammad Owais Raza +4 more
doaj +1 more source
IEEE AccessFederated Learning (FL) is an evolutionary approach for privacy-preserving distributed machine learning and is particularly significant in cross-silo settings where direct data sharing is restricted.
Vineetha Pais +2 more
doaj +1 more source
Question Answering on Linked Data: Challenges and Future Directions
, 2016 Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstructured datasets to structured datasets with highly semantic-enriched ...
Endris, Kemele +6 more
core +1 more source
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
Addressing Membership Inference Attack in Federated Learning with Model Compression
, 2023 Federated Learning (FL) has been proposed as a privacy-preserving solution for machine learning. However, recent works have shown that Federated Learning can leak private client data through membership attacks.
Lozano, Miguel Ángel +3 more
core
Allergy, EarlyView.ABSTRACT This update and revision of the international guideline for urticaria was developed in accordance with the methods recommended by Cochrane and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group. It is an initiative of the Global Allergy and Asthma Excellence Network (GA2LEN) and its Urticaria and ...
T. Zuberbier +221 more
wiley +1 more source
Future InternetFederated Learning (FL) is a distributed machine-learning paradigm that enables models to be trained across multiple decentralized devices or servers holding local data without transferring the raw data to a central location.
Chen Qiu +5 more
doaj +1 more source
A Systematic Review of Federated Learning: Emerging Techniques, Challenges, and Research Directions
Iraqi Journal for Computers and InformaticsFederated Learning FL is a rapidly evolving machine learning paradigm that enables collaborative model training across decentralized data sources while preserving data privacy.
Mohammed Abdul Ameer Jabbar +2 more
doaj +1 more source
FL-GRM:Gamma Regression Algorithm Based on Federated Learning
Jisuanji kexue, 2022 People commonly hypothesize that an independent variable follows a Gamma distribution in many areas,including hydrology,meteorology and insurance claim.Under the Gamma distribution assumption,Gamma regression model enables an outstanding fitting effect,compared with multivariate linear-regression model.Previous studies may be able to obtain a Gamma ...
openaire +1 more source
Brazil's Public Administration and the Challenge of New Democracies: Promoting Social Inclusion
Public Administration Review, EarlyView.ABSTRACT Brazil's public administration (PA) has sought to strengthen democratic governance through an emphasis on social inclusion. Since democratization in 1988, reforms have aimed to address entrenched inequalities along with decentralization and professionalism spurring innovations in social inclusion.
Evan M. Berman +7 more
wiley +1 more source