This study introduces an efficacious approach, Masked Collaborative Cont...
Large language models (LLMs) power a new generation of interactive AI
ap...
Training deep neural networks (DNNs) is a major workload in datacenters
...
Personalized Federated Learning (PFL) aims to learn personalized models ...
Federated Semi-Supervised Learning (FSSL) aims to learn a global model f...
WebAssembly (abbreviated WASM) has emerged as a promising language of th...
Significant progress has been made in learning image classification neur...
Lane detection is one of the fundamental modules in self-driving. In thi...
Federated learning (FL) is an emerging promising paradigm of
privacy-pre...
Federated learning (FL) provides a privacy-preserving solution for
distr...
Conceptual graphs, which is a particular type of Knowledge Graphs, play ...
The objective of this paper is to verify that current cutting-edge artif...
WebAssemly is an emerging runtime for Web applications and has been supp...
As COVID-19 has been spreading across the world since early 2020, a grow...
Federated learning enables collaboratively training machine learning mod...
It is widely recognized that program repair tools need to have a high
pr...
To preserve user privacy while enabling mobile intelligence, techniques ...
EOSIO has become one of the most popular blockchain platforms since its
...
The rich revenue gained from a mobile application (a.k.a. app) boost app...
With the increasing popularity of blockchain technologies in recent year...
As low-cost surveillance cameras grow rapidly, we advocate for these cam...
The recent rapid development of artificial intelligence (AI, mainly driv...
Lin et al. (Reports, 7 September 2018, p. 1004) reported a remarkable
pr...
Nowadays, editors tend to separate different subtopics of a long Wiki-pe...
When developing smart home systems, developers integrate and compose sma...
The existing lensless compressive camera
(L^2C^2) Huang13ICIP suffers fr...
We consider the problem of reconstructing an image from compressive
meas...
We develop a new compressive sensing (CS) inversion algorithm by utilizi...
We analyze the signal to noise ratio (SNR) in a lensless compressive ima...
Multi-view images are acquired by a lensless compressive imaging
archite...
In this paper, we propose a lensless compressive imaging architecture. T...