A systematic review of federated learning: Challenges, aggregation methods, and development tools

BS Guendouzi, S Ouchani, HEL Assaad… - Journal of Network and …, 2023 - Elsevier
Since its inception in 2016, federated learning has evolved into a highly promising decentral-
ized machine learning approach, facilitating collaborative model training across numerous …

A comprehensive review on federated learning based models for healthcare applications

S Sharma, K Guleria - Artificial intelligence in medicine, 2023 - Elsevier
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 …

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

A Rahman, MS Hossain, G Muhammad, D Kundu… - Cluster computing, 2023 - Springer
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
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

S Mehta, V Kukreja, R Yadav - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …

Transforming Agriculture: Federated Learning CNNs for Wheat Disease Severity Assessment

S Mehta, V Kukreja, A Gupta - 2023 8th International …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0

SH Alsamhi, AV Shvetsov, S Kumar, J Hassan… - Drones, 2022 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …

Apple leaf disease recognition: a robust federated learning CNN methodology

S Mehta, V Kukreja, R Gupta - 2023 International Conference …, 2023 - ieeexplore.ieee.org
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 …

Cybersecurity Challenges and Solutions in the Fintech Mobile App Ecosystem.

I Mustapha, Y Vaicondam, A Jahanzeb… - … of Interactive Mobile …, 2023 - search.ebscohost.com
The rapid growth of the fintech industry, driven by the proliferation of mobile applications,
has revolutionized financial services, providing unprecedented convenience to users …

[HTML][HTML] Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions

JPA Yaacoub, HN Noura, O Salman - Internet of Things and Cyber-Physical …, 2023 - Elsevier
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 …

[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 …