Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks
The Industrial Internet of Things Networks (IIoT-N) have revolutionized industrial systems by
connecting sensors, devices, and data analytics, creating complex, data-driven …
connecting sensors, devices, and data analytics, creating complex, data-driven …
Transparency and privacy: the role of explainable ai and federated learning in financial fraud detection
T Awosika, RM Shukla, B Pranggono - IEEE Access, 2024 - ieeexplore.ieee.org
Fraudulent transactions and how to detect them remain a significant problem for financial
institutions around the world. The need for advanced fraud detection systems to safeguard …
institutions around the world. The need for advanced fraud detection systems to safeguard …
Resource-efficient federated learning over IoAT for rice leaf disease classification
Rice is an important staple food in Asia. It is produced and consumed in large quantities. It
contributes to 15% of protein intake and 21% of total per capita energy intake in the region …
contributes to 15% of protein intake and 21% of total per capita energy intake in the region …
Enhancing Transparency and Privacy in Financial Fraud Detection: The Integration of Explainable AI and Federated Learning
W Ahmad, A Vashist, N Sinha, M Prasad… - … Conference on Software …, 2024 - Springer
The pervasive issue of fraudulent transactions presents a considerable challenge for
financial institutions globally. Developing innovative fraud detection systems is critical to …
financial institutions globally. Developing innovative fraud detection systems is critical to …
Cross Device Federated Intrusion Detector for Early Stage Botnet Propagation in IoT
AG Famera, RM Shukla… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
A botnet is an army of zombified computers infected with malware and controlled by
malicious actors to carry out tasks such as Distributed Denial of Service (DDoS) attacks …
malicious actors to carry out tasks such as Distributed Denial of Service (DDoS) attacks …
Augmenting the FedProx Algorithm by Minimizing Convergence
A Sarkar, L Vajpayee - arXiv preprint arXiv:2406.00748, 2024 - arxiv.org
The Internet of Things has experienced significant growth and has become an integral part
of various industries. This expansion has given rise to the Industrial IoT initiative where …
of various industries. This expansion has given rise to the Industrial IoT initiative where …
Enhancing Financial Risk Management with Federated AI
Fraudulent transactions are a persistent challenge for financial institutions, demanding
robust detection systems to maintain customer trust. Key obstacles include the rarity of fraud …
robust detection systems to maintain customer trust. Key obstacles include the rarity of fraud …
[PDF][PDF] Precision at Heart: An IoT-based Vertical Federated Learning Approach for Heterogeneous Data-Driven Cardiovascular Disease Risk Prediction
Cardiovascular disease (CVD) poses a serious threat to individual health, highlighting the
importance of early detection and proactive mitigation. With advancements in consumer …
importance of early detection and proactive mitigation. With advancements in consumer …
Enhancing Transparency and Privacy in Financial Fraud Detection: The Integration of Explainable AI and Federated Learning
V Shrivastava, JH Muzamal - … , SEDE 2024, San Diego, CA, USA …, 2025 - books.google.com
The pervasive issue of fraudulent transactions presents a considerable challenge for
financial institutions globally. Developing innovative fraud detection systems is critical to …
financial institutions globally. Developing innovative fraud detection systems is critical to …
[PDF][PDF] РАСПРЕДЕЛЕННАЯ СИСТЕМА ОБНАРУЖЕНИЯ СЕТЕВЫХ АТАК НА ОСНОВЕ ФЕДЕРАТИВНОГО ТРАНСФЕРНОГО ОБУЧЕНИЯ
ВИ Васильев, АМ Вульфин, ВМ Картак… - Вопросы …, 2024 - cyberrus.info
Метод исследования: для оперативной обработки и анализа сетевого трафика
использованы методы машинного обучения. Применены методы построения моделей …
использованы методы машинного обучения. Применены методы построения моделей …