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A systematic review of federated learning: Challenges, aggregation methods, and development tools
Since its inception in 2016, federated learning has evolved into a highly promising decentral-
ized machine learning approach, facilitating collaborative model training across numerous …
ized machine learning approach, facilitating collaborative model training across numerous …
A comprehensive review on federated learning based models for healthcare applications
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …
body. Pathology determines the causes behind the disease and identifies its development …
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Advanced mango leaf disease detection and severity analysis with federated learning and cnn
Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …
considerable financial losses. Effective illness management and reduction depend on early …
Transforming Agriculture: Federated Learning CNNs for Wheat Disease Severity Assessment
It is crucial to correctly identify and evaluate wheat illnesses to stop their growth and boost
farming output. This research study intends to use CNN with collaborative learning to …
farming output. This research study intends to use CNN with collaborative learning to …
[HTML][HTML] Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
Apple leaf disease recognition: a robust federated learning CNN methodology
Apple leaf diseases threaten apple orchard sustain ability and production worldwide.
Accurate and early identification is essential for the successful care and control of many …
Accurate and early identification is essential for the successful care and control of many …
Cybersecurity Challenges and Solutions in the Fintech Mobile App Ecosystem.
The rapid growth of the fintech industry, driven by the proliferation of mobile applications,
has revolutionized financial services, providing unprecedented convenience to users …
has revolutionized financial services, providing unprecedented convenience to users …
[HTML][HTML] Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions
Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …
reputation for not only building Machine Learning (ML) models that rely on distributed …
[HTML][HTML] Botnet detection and mitigation model for IoT networks using federated learning
FL de Caldas Filho, SCM Soares, E Oroski… - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) introduces significant security vulnerabilities, raising concerns
about cyber-attacks. Attackers exploit these vulnerabilities to launch distributed denial-of …
about cyber-attacks. Attackers exploit these vulnerabilities to launch distributed denial-of …