2 papers
eess.SY2024
Latency and Energy Minimization in NOMA-Assisted MEC Network: A Federated Deep Reinforcement Learning Approach
Arian Ahmadi, Anders Høst-Madsen, Zixiang Xiong
Multi-access edge computing (MEC) is seen as a vital component of forthcoming 6G wireless networks, aiming to support emerging applications that demand high service reliability and…
cs.IT2024
Out-of-Distribution Detection using Maximum Entropy Coding
Mojtaba Abolfazli, Mohammad Zaeri Amirani, Anders Høst-Madsen +2
Given a default distribution and a set of test data this paper seeks to answer the question if it was likely that was generated by . For d…