… In this paper, a novel edge continual learning framework is proposed to accurately model …
In particular, a CT is simulated as a deep neural network (DNN) at the wireless network edge …

… System Model We considered a wireless communication system operating in the mmWave
frequency band. We assumed the base station (BS) and the user equipment (UE) are …

… of continual learning, making the model lacking of the flexibility to deal with the occurrence
of new states. Inspired by the concept of “continual learning” [29], a novel continual learning …

… continual learning based beamforming neural network (CLBNN), which is adaptive to dynamic
wireless … This article has been accepted for publication in IEEE Wireless Communications …

… We propose a continual learning (CL) framework for wireless systems, which can incrementally
adapt the learning models to the new episodes, without forgetting models learned from …

… network generally only remembers a single wireless channel model. An artificial neural …
on deep learning use limited and poor robustness. In this paper, a continual learning method …

… We discuss the use of neural networks, emphasizing time series forecasting using Long …
networks. Additionally, we introduce the concepts of continual learning and transfer learning, …

… CFedSI over wireless networks. … continual learning, we propose federated continual learning
to boost the performance on Non-IID data. Specifically, by analogy with continual learning, …

… 2) Continual learning for wireless communications: Little effort has been devoted to investigate
CL methods in wireless communications problems. A CL formulation for wireless system …

… , we use a public dataset, WIreless Sensor Data Mining (… continual learning in real-world
incremental categories for temporal data classification with attentive recurrent neural networks …