Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Federated learning in edge computing: a systematic survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions
With the advent of the Internet of Things (IoT), artificial intelligence (AI), machine learning
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …
Toward trustworthy ai: Blockchain-based architecture design for accountability and fairness of federated learning systems
Federated learning is an emerging privacy-preserving AI technique where clients (ie,
organizations or devices) train models locally and formulate a global model based on the …
organizations or devices) train models locally and formulate a global model based on the …
Responsible ai pattern catalogue: A collection of best practices for ai governance and engineering
Responsible Artificial Intelligence (RAI) is widely considered as one of the greatest scientific
challenges of our time and is key to increase the adoption of Artificial Intelligence (AI) …
challenges of our time and is key to increase the adoption of Artificial Intelligence (AI) …
[HTML][HTML] Lightweight federated learning for rice leaf disease classification using non independent and identically distributed images
Rice (Oryza sativa L.) is a vital food source all over the world, contributing 15% of the protein
and 21% of the energy intake per person in Asia, where most rice is produced and …
and 21% of the energy intake per person in Asia, where most rice is produced and …
A survey on heterogeneity taxonomy, security and privacy preservation in the integration of IoT, wireless sensor networks and federated learning
Federated learning (FL) is a machine learning (ML) technique that enables collaborative
model training without sharing raw data, making it ideal for Internet of Things (IoT) …
model training without sharing raw data, making it ideal for Internet of Things (IoT) …
[HTML][HTML] Federatedtrust: A solution for trustworthy federated learning
The rapid expansion of the Internet of Things (IoT) and Edge Computing has presented
challenges for centralized Machine and Deep Learning (ML/DL) methods due to the …
challenges for centralized Machine and Deep Learning (ML/DL) methods due to the …
[HTML][HTML] Comparative review of the intrusion detection systems based on federated learning: Advantages and open challenges
In order to provide an accurate and timely response to different types of the attacks, intrusion
and anomaly detection systems collect and analyze a lot of data that may include personal …
and anomaly detection systems collect and analyze a lot of data that may include personal …