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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84a7b4a302c6a693b2475139865e1afd
https://doi.org/10.1021/acscatal.2c05568
https://doi.org/10.1021/acscatal.2c05568
Publikováno v:
IEEE Transactions on Vehicular Technology. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f91e71bfea41d7312931ba05edfdcccb
https://doi.org/10.1109/tvt.2023.3265366
https://doi.org/10.1109/tvt.2023.3265366
Autor:
Zonghang Li, Yiming Li, Yuannan Chen, Qiwen Wang, Mehwish Jadoon, Xiaohu Yi, Xiaozheng Duan, Xiaohong Wang
Publikováno v:
ACS Catalysis. 12:9213-9225
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50f1c719398ff6c187a37dd0f2584f8b
https://doi.org/10.1021/acscatal.2c01808
https://doi.org/10.1021/acscatal.2c01808
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71d90e12b94827a5c2c0ea4cd74751ad
https://doi.org/10.1109/tsc.2020.3044043
https://doi.org/10.1109/tsc.2020.3044043
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d2daf55c0e400a48c0505dc9972da6b
https://doi.org/10.1109/tnsm.2021.3106315
https://doi.org/10.1109/tnsm.2021.3106315
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
Semantic communication, as a promising technology, has emerged to break through the Shannon limit, which is envisioned as the key enabler and fundamental paradigm for future 6G networks and applications, e.g., smart healthcare. In this paper, we focu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7367ec05fef1d91e0e07ab57c509f1f
http://arxiv.org/abs/2209.12274
http://arxiv.org/abs/2209.12274
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03ef906df9c2f00bf239766fcc302ac7
https://doi.org/10.1109/mnet.011.2000604
https://doi.org/10.1109/mnet.011.2000604