Edge-AI, the convergence of edge computing and artificial intelligence (AI), has become a
promising paradigm that enables the deployment of advanced AI models at the network …

Non-Centralized Continual Learning (NCCL) has become an emerging paradigm for
enabling distributed devices such as vehicles and servers to handle streaming data from a …

In recent years, with the gradual slowing of Moore's Law and the development of deep
learning, the demand for hardware performance of executing deep learning based …

The past years have witnessed the success of a distributed learning system called
Federated Learning (FL). Recently, asynchronous FL (AFL) has demonstrated its potential in …

Federated continual learning (FCL) has attracted growing attention in achieving
collaborative model training among edge clients, each of which learns its local model for a …

Federated Learning (FL) has emerged as a new distributed Deep Learning (DL) paradigm
that enables privacy-aware training and inference on mobile devices with help from the …

At the core of managing mobility in a cellular network lies a vital and high-impact service
known as the handover scheme. The handover scheme—which is implemented at the edge …