Abstract: Multi-task inference, as a prevalent inference paradigm nowadays, requires deploying multiple deep learning models on the hardware platform to concurrently process inference tasks. Modern ...
Abstract: Federated learning (FL) has emerged as a powerful paradigm for decentralized machine learning, enabling collaborative model training across diverse clients without sharing raw data. However, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results