Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vahapoglu, Cemil"'
The evolution of fifth generation (5G) wireless communication networks has led to an increased need for wireless resource management solutions that provide higher data rates, wide coverage, low latency, and power efficiency. Yet, many of existing tra
Externí odkaz:
http://arxiv.org/abs/2406.08373
The advancement of fifth generation (5G) wireless communication networks has created a greater demand for wireless resource management solutions that offer high data rates, extensive coverage, minimal latency and energy-efficient performance. Nonethe
Externí odkaz:
http://arxiv.org/abs/2309.16603
Multi-task learning (MTL) is a learning paradigm to learn multiple related tasks simultaneously with a single shared network where each task has a distinct personalized header network for fine-tuning. MTL can be integrated into a federated learning (
Externí odkaz:
http://arxiv.org/abs/2212.07414
Multi-task learning (MTL) is a novel framework to learn several tasks simultaneously with a single shared network where each task has its distinct personalized header network for fine-tuning. MTL can be implemented in federated learning settings as w
Externí odkaz:
http://arxiv.org/abs/2203.13663
Autor:
Mortaheb, Matin1 (AUTHOR), Vahapoglu, Cemil1 (AUTHOR), Ulukus, Sennur1 (AUTHOR) ulukus@umd.edu
Publikováno v:
Algorithms. Nov2022, Vol. 15 Issue 11, p421. 25p.
