This repository contains the implementation of our novel approach to model compression by integrating knowledge distillation (KD) with Integrated Gradients (IG) and attention transfer (AT), as ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

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The increasing size and complexity of large language models (LLMs) present significant computational and memory challenges. To address these challenges, model compression techniques have been ...

Abstract: Federated learning (FL), as an emerging collaborative learning paradigm, offers a promising solution to tackle learning challenges in IoT environments. However, the inherent mechanism of FL ...

Image compression has been one of the constantly evolving challenges in computer science. Programers and researchers are always trying to improve current standards or create new ones to get better ...