Results 41 to 50 of about 466,753 (264)
Verifiable federated aggregation method based on homomorphic proxy re-authentication
Federated learning, capable of training models by sharing gradient parameters, faces the risk of dishonest data aggregation by malicious servers during the model aggregation process.
YANG Fan, SUN Yi, CHEN Xingyuan, GAO Qi
doaj +3 more sources
SOFTWARE ARCHITECTURE DESIGN OF GIS WEB SERVICE AGGREGATION BASED ON SERVICE GROUP [PDF]
Based on the analysis of research status of domestic and international GIS web service aggregation and development tendency of public platform of GIS web service, the paper designed software architecture of GIS web service aggregation based on GIS web ...
J.-C. Liu, J. Yang, M.-J. Tan, Q. Gan
doaj +1 more source
The Heckscher-Ohlin Model as an Aggregate [PDF]
The opening quotation reflects the widespread view that the Heckscher-Ohlin model of international trade, with its emphasis on sectoral factor intensities, cannot fruitfully be used as a basis for detailed predictions in models of higher dimension than the textbook two-factor, two-commodity case.
openaire +4 more sources
A conceptual model for attribute aggregation [PDF]
This paper describes a conceptual model for attribute aggregation that allows a service provider (SP) to authorise a user's access request based on attributes asserted by multiple identity providers (IdPs), when the user is known by different identities at each of the IdPs.
David W. Chadwick +2 more
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ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
Decision Trees in Federated Learning: Current State and Future Opportunities
Federated learning (FL) is a distributed machine learning technique that enables multiple decentralized clients to develop a model collaboratively without exchanging their local data.
Sudath R. Heiyanthuduwage +4 more
doaj +1 more source
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
FedEmerge: An Entropy-Guided Federated Learning Method for Sensor Networks and Edge Intelligence
Introduction: Federated Learning (FL) is a distributed machine learning paradigm where a global model is collaboratively trained across multiple decentralized clients without exchanging raw data.
Koffka Khan
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ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Efficient Solar Irradiance Prediction Using a Grid-Based Classifier Ensemble—A Polish Case Study
The study introduces a grid-based ensemble method for solar irradiance prediction that uses geographic coordinates to improve efficiency without sacrificing accuracy.
Kacper KsiaZek +1 more
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