Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Zhang Huanle"'
The global patent application count has steadily increased, achieving eight consecutive years of growth.The global patent industry has shown a general trend of expansion. This is attributed to the increasing innovation activities, particularly in the
Externí odkaz:
http://arxiv.org/abs/2404.15282
Federated learning (FL) is a distributed model training paradigm that preserves clients' data privacy. It has gained tremendous attention from both academia and industry. FL hyper-parameters (e.g., the number of selected clients and the number of tra
Externí odkaz:
http://arxiv.org/abs/2211.13656
As a privacy-preserving paradigm for training Machine Learning (ML) models, Federated Learning (FL) has received tremendous attention from both industry and academia. In a typical FL scenario, clients exhibit significant heterogeneity in terms of dat
Externí odkaz:
http://arxiv.org/abs/2211.01549
Publikováno v:
In Journal of Food Protection December 2024 87(12)
Publikováno v:
In High-Confidence Computing December 2024 4(4)
We propose MASTAF, a Model-Agnostic Spatio-Temporal Attention Fusion network for few-shot video classification. MASTAF takes input from a general video spatial and temporal representation,e.g., using 2D CNN, 3D CNN, and Video Transformer. Then, to ma
Externí odkaz:
http://arxiv.org/abs/2112.04585
The past decade witnesses a rapid development in the measurement and monitoring technologies for food science. Among these technologies, spectroscopy has been widely used for the analysis of food quality, safety, and nutritional properties. Due to th
Externí odkaz:
http://arxiv.org/abs/2110.03765
Federated learning (FL) hyper-parameters significantly affect the training overheads in terms of computation time, transmission time, computation load, and transmission load. However, the current practice of manually selecting FL hyper-parameters put
Externí odkaz:
http://arxiv.org/abs/2110.03061
Publikováno v:
In Journal of Magnetism and Magnetic Materials 1 August 2024 603
With the development of the Internet of Things(IoT) and Artificial Intelligence(AI) technologies, human activity recognition has enabled various applications, such as smart homes and assisted living. In this paper, we target a new healthcare applicat
Externí odkaz:
http://arxiv.org/abs/2106.15017