|
|
|
|
|
Pin-Hung Juan and Ja-Ling Wu
In this study, we present a federated learning approach that combines a multi-branch network and the Oort client selection algorithm to improve the performance of federated learning systems. This method successfully addresses the significant issue of non...
ver más
|
|
|
|
|
|
|
|
|
|
|
Changhao Wu, Siyang He, Zengshan Yin and Chongbin Guo
Large-scale low Earth orbit (LEO) remote satellite constellations have become a brand new, massive source of space data. Federated learning (FL) is considered a promising distributed machine learning technology that can communicate optimally using these ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Salvatore Ceccarelli and Stefania Grando
This review paper addresses the importance of increasing agrobiodiversity to cope with climate change and, at the same time, providing a sufficient amount of healthy food. This is in agreement with the messages from ecology and medicine indicating the ad...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liangkun Yu, Xiang Sun, Rana Albelaihi and Chen Yi
Federated learning (FL) is a collaborative machine-learning (ML) framework particularly suited for ML models requiring numerous training samples, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Random Forest, in the co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Diego Reforgiato Recupero and Daniele Riboni
Research on the analysis of counselling conversations through natural language processing methods has seen remarkable growth in recent years. However, the potential of this field is still greatly limited by the lack of access to publicly available therap...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Mateen Yaqoob, Muhammad Nazir, Muhammad Amir Khan, Sajida Qureshi and Amal Al-Rasheed
One of the deadliest diseases, heart disease, claims millions of lives every year worldwide. The biomedical data collected by health service providers (HSPs) contain private information about the patient and are subject to general privacy concerns, and t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Youcef Fouzar, Ahmed Lakhssassi and Ramakrishna Mundugar
The safeguarding of intellectual property and maintaining privacy for video content are closely linked to the effectiveness of security protocols employed in internet streaming platforms. The inadequate implementation of security measures by content prov...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eirini Liotou, Dionysis Xenakis, Vasiliki Georgara, Georgios Kourouniotis and Lazaros Merakos
Dynamic Adaptive Streaming over HTTP (DASH) has prevailed as the dominant way of video transmission over the Internet. This technology is based on receiving small sequential video segments from a server. However, one challenge that has not been adequatel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sumit Rai, Arti Kumari and Dilip K. Prasad
Federated learning promises an elegant solution for learning global models across distributed and privacy-protected datasets. However, challenges related to skewed data distribution, limited computational and communication resources, data poisoning, and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bee Lan Oo, Teck Heng Benson Lim and Goran Runeson
Given that project selection is a vital and recurring strategic decision for construction firms, there is a sizeable collection of studies that examine the factors affecting contractors? decision to bid (d2b). With the aim to provide a global perspective...
ver más
|
|
|
|
|
|