A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks

@article{kchok2025,
  title = {A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks},
  author = {Hamza Kchok and Ilhem Fajjari and Faten Chaieb and Nadjib Aitsaadi and Mourad Guéroui and Richard Li},
  journal = {ICC},
  year = {2025},
  month = {Jan},
  doi = {10.1109/icc52391.2025.11161180},
  url = {https://doi.org/10.1109/icc52391.2025.11161180},
}

Hamza Kchok et al. (2025). A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks. ICC. https://doi.org/10.1109/icc52391.2025.11161180

Hamza Kchok, et al.. "A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks." ICC, 2025, https://doi.org/10.1109/icc52391.2025.11161180.

Hamza Kchok, et al.. "A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks." ICC (2025). https://doi.org/10.1109/icc52391.2025.11161180

Hamza Kchok et al., 2025. A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks. ICC. Available at: <https://doi.org/10.1109/icc52391.2025.11161180>.

TY  - JOUR
TI  - A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks
AU  - Hamza Kchok
AU  - Ilhem Fajjari
AU  - Faten Chaieb
AU  - Nadjib Aitsaadi
AU  - Mourad Guéroui
AU  - Richard Li
PY  - 2025
JO  - ICC
DO  - 10.1109/icc52391.2025.11161180
UR  - https://doi.org/10.1109/icc52391.2025.11161180
ER  -