Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Zonghang Li"'
Publikováno v:
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-6 (2022)
Abstract Background Invasive pulmonary aspergillosis often occurs in patients with poor immune function, who abuse steroids or broad-spectrum antibiotics, or who use intravenous drugs. Among the Aspergillus genus of pulmonary infection, Aspergillus f
Externí odkaz:
https://doaj.org/article/f824e20eafe2451fa7551d2368e9bc7a
Publikováno v:
IEEE Access, Vol 7, Pp 39083-39097 (2019)
Flow updates are common in today's networks, and software-defined networking (SDN) enables network operators to reconfigure switches for updating flows easily. However, the implementation of flow updates requires to meet many different expectations r
Externí odkaz:
https://doaj.org/article/54dd8e3ed10642e5992522e032b82ba8
Autor:
Zonghang Li, Xiaohu Yi, Qiwen Wang, Yiming Li, Diantao Li, Regina Palkovits, Anna Katharina Beine, Chunguang Liu, Xiaohong Wang
Publikováno v:
ACS Catalysis. 13:4575-4586
Publikováno v:
IEEE Transactions on Vehicular Technology. :1-13
Autor:
Zonghang Li, Yiming Li, Yuannan Chen, Qiwen Wang, Mehwish Jadoon, Xiaohu Yi, Xiaozheng Duan, Xiaohong Wang
Publikováno v:
ACS Catalysis. 12:9213-9225
Publikováno v:
IEEE Transactions on Services Computing. 15:2261-2274
Federated Learning (FL) serves privacy-preserving collaborative learning among multiple isolated parties, while retaining their privacy data locally. Cross-device and cross-silo FL have achieved great success in cross-domain applications, in which th
Publikováno v:
IEEE Transactions on Network and Service Management. 18:4846-4859
In recent years, distributed machine learning in WANs (DML-WANs), i.e., collaboratively training a high-quality ML model cross geo-distributed micro-clouds or edge devices, has attracted attention and been widely applied. Compared with cloud-centric
Federated Learning (FL), as a rapidly evolving privacy-preserving collaborative machine learning paradigm, is a promising approach to enable edge intelligence in the emerging Industrial Metaverse. Even though many successful use cases have proved the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feec112641674f73fbab8bc0c98d2e7e
http://arxiv.org/abs/2211.03300
http://arxiv.org/abs/2211.03300
Publikováno v:
IEEE Network. 35:295-301
The emerging blockchained federated learning, known for its security properties such as decentralization, immutability and traceability, is evolving into an important direction of next-generation AI. With the booming edge computing technologies, bloc
Publikováno v:
IEEE Internet of Things Journal. 8:10596-10607
Blockchain is a promising emerging technology that is envisioned to play a key role in establishing secure and reliable Internet-of-Things (IoT) ecosystems without the involvement of any third party. Hyperledger Fabric, a permissioned blockchain syst