Automated federated pipeline for parameter-efficient fine-tuning of large language models
Recently, there has been a surge in the development of advanced intelligent generative
content (AIGC), especially large language models (LLMs). However, for many downstream …
content (AIGC), especially large language models (LLMs). However, for many downstream …
Satsense: Multi-satellite collaborative framework for spectrum sensing
Low Earth Orbit satellite Internet has recently been deployed, providing worldwide service
with non-terrestrial networks. With the large-scale deployment of both non-terrestrial and …
with non-terrestrial networks. With the large-scale deployment of both non-terrestrial and …
Ifvit: Interpretable fixed-length representation for fingerprint matching via vision transformer
Y Qiu, H Chen, X Dong, Z Lin, IY Liao… - arXiv preprint arXiv …, 2024 - arxiv.org
Determining dense feature points on fingerprints used in constructing deep fixed-length
representations for accurate matching, particularly at the pixel level, is of significant interest …
representations for accurate matching, particularly at the pixel level, is of significant interest …
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
Connected and autonomous driving is developing rapidly in recent years. However, current
autonomous driving systems, which are primarily based on data-driven approaches, exhibit …
autonomous driving systems, which are primarily based on data-driven approaches, exhibit …
FedAC: A Adaptive Clustered Federated Learning Framework for Heterogeneous Data
Clustered federated learning (CFL) is proposed to mitigate the performance deterioration
stemming from data heterogeneity in federated learning (FL) by grouping similar clients for …
stemming from data heterogeneity in federated learning (FL) by grouping similar clients for …
Sums: Sniffing Unknown Multiband Signals under Low Sampling Rates
J Peng, Z Chen, Z Lin, H Yuan, Z Fang, L Bao… - arXiv preprint arXiv …, 2024 - arxiv.org
Due to sophisticated deployments of all kinds of wireless networks (eg, 5G, Wi-Fi, Bluetooth,
LEO satellite, etc.), multiband signals distribute in a large bandwidth (eg, from 70 MHz to 8 …
LEO satellite, etc.), multiband signals distribute in a large bandwidth (eg, from 70 MHz to 8 …
LEO Satellite Networks Assisted Geo-distributed Data Processing
Nowadays, the increasing deployment of edge clouds globally provides users with low-
latency services. However, connecting an edge cloud to a core cloud via optic cables in …
latency services. However, connecting an edge cloud to a core cloud via optic cables in …
Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
H Luo, W Liu, Q Zhang, Z Yang, Q Lin, W Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
Low-orbit mega-constellation network, which utilize thousands of satellites to provide a
variety of network services and collect a wide range of space information, is a rapidly …
variety of network services and collect a wide range of space information, is a rapidly …