Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Wan, Zhiguo"'
The exponential growth in wireless data traffic, driven by the proliferation of mobile devices and smart applications, poses significant challenges for modern communication systems. Ensuring the secure and reliable transmission of multimodal semantic
Externí odkaz:
http://arxiv.org/abs/2411.01991
Despite the rapid development of Chinese vision-language models (VLMs), most existing Chinese vision-language (VL) datasets are constructed on Western-centric images from existing English VL datasets. The cultural bias in the images makes these datas
Externí odkaz:
http://arxiv.org/abs/2407.01081
Federated learning systems are susceptible to adversarial attacks. To combat this, we introduce a novel aggregator based on Huber loss minimization, and provide a comprehensive theoretical analysis. Under independent and identically distributed (i.i.
Externí odkaz:
http://arxiv.org/abs/2308.12581
Autor:
Zhao, Puning, Wan, Zhiguo
Robust distributed learning with Byzantine failures has attracted extensive research interests in recent years. However, most of existing methods suffer from curse of dimensionality, which is increasingly serious with the growing complexity of modern
Externí odkaz:
http://arxiv.org/abs/2307.13352
Autor:
Zhao, Puning, Wan, Zhiguo
This paper studies robust nonparametric regression, in which an adversarial attacker can modify the values of up to $q$ samples from a training dataset of size $N$. Our initial solution is an M-estimator based on Huber loss minimization. Compared wit
Externí odkaz:
http://arxiv.org/abs/2305.16771
Autor:
Zhu, Shiqiang, Yu, Ting, Xu, Tao, Chen, Hongyang, Dustdar, Schahram, Gigan, Sylvain, Gunduz, Deniz, Hossain, Ekram, Jin, Yaochu, Lin, Feng, Liu, Bo, Wan, Zhiguo, Zhang, Ji, Zhao, Zhifeng, Zhu, Wentao, Chen, Zuoning, Durrani, Tariq, Wang, Huaimin, Wu, Jiangxing, Zhang, Tongyi, Pan, Yunhe
Publikováno v:
Intell. Comput. 2023;2:0006
Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revoluti
Externí odkaz:
http://arxiv.org/abs/2211.11281
Publikováno v:
In Neural Networks December 2024 180
Recent years have witnessed an increasing interest in the blockchain technology, and many blockchain-based applications have been developed to take advantage of its decentralization, transparency, fault tolerance, and strong security. In the field of
Externí odkaz:
http://arxiv.org/abs/2109.14130
The domain shift, coming from unneglectable modality gap and non-overlapped identity classes between training and test sets, is a major issue of RGB-Infrared person re-identification. A key to tackle the inherent issue -- domain shift -- is to enforc
Externí odkaz:
http://arxiv.org/abs/2109.08843
Introducing blockchain into Federated Learning (FL) to build a trusted edge computing environment for transmission and learning has attracted widespread attention as a new decentralized learning pattern. However, traditional consensus mechanisms and
Externí odkaz:
http://arxiv.org/abs/2104.13130