过去一年中添加的文章，按日期排序
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
22 天前 - … of time series due to the deployment of various edge devices. To bridge the gap …
to fine-tune small-scale parameters and transmit them to the server for update. PeFAD utilizes a …
to fine-tune small-scale parameters and transmit them to the server for update. PeFAD utilizes a …
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
W Xu, Y Liu, L He, X Huang, L Jiang - arXiv preprint arXiv:2405.09215, 2024 - arxiv.org
42 天前 - … -edge multimodal vision language model. It is designed for efficient deployment on
consumer GPU servers. Our … a 1B-scale language model from the ground up, employing the …
consumer GPU servers. Our … a 1B-scale language model from the ground up, employing the …
[HTML][HTML] The Gnu Frontier: deploying machine learning and open-source electronics for the study of ungulate movement in the Anthropocene
CM Kavwele - 2024 - theses.gla.ac.uk
79 天前 - … These changes are largely driven by the increased human footprint on a planetary
scale and global warming. Consequently, various impacts have been documented, including …
scale and global warming. Consequently, various impacts have been documented, including …
Secure Edge and Fog Computing Enabled AI for IoT and Smart Cities
AA Abd El-Latif, Y Maleh, BB Gupta - Springer
79 天前 - … novel approaches to data protection in IoT and edge/fog computing. The primary
focus of … IoT and edge/fog computing, advanced secure deployments for large scaled edge/fog …
focus of … IoT and edge/fog computing, advanced secure deployments for large scaled edge/fog …
Digitally improving UK police surveillance and incidence response using real-time crowd reporting app: Digipolice
91 天前 - … The system scaled up nicely to 50 users and reached its highest response time of
2600 … The effectiveness of the online deployment was evaluated with respectable results, and …
2600 … The effectiveness of the online deployment was evaluated with respectable results, and …
[HTML][HTML] Accurate and fast congestion feedback in MEC-enabled RDMA datacenters
94 天前 - … to the edge of the network. The interconnection of edge servers forms small-scale
data … Nowadays, Remote Direct Memory Access (RDMA) has been widely deployed in such …
data … Nowadays, Remote Direct Memory Access (RDMA) has been widely deployed in such …
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks
113 天前 - … However, deploying these technologies at scale involves navigating a complex
landscape of advanced privacy-preserving techniques and inherent challenges. …
landscape of advanced privacy-preserving techniques and inherent challenges. …
Usas: A Sustainable Continuous-Learning´ Framework for Edge Servers
117 天前 - … The power sustainability consequently reduces the cost of deployment as the
publicly available edge server, like AWS outpost offering (one of the … The scaling up via mil- …
publicly available edge server, like AWS outpost offering (one of the … The scaling up via mil- …
H-EYE: Holistic Resource Modeling and Management for Diversely Scaled Edge-Cloud Systems
140 天前 - … We demonstrate the utility and flexibility of H-EYE on edge-server systems that are
deployed on the field in two different disciplines, improving up to 47% latency over baselines …
deployed on the field in two different disciplines, improving up to 47% latency over baselines …
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference
155 天前 - … scaling (DVFS) technique, edge-cloud architecture provides a collaborative approach
for efficient DNN inference. However, current edge-… two widely-deployed DNN models (ie, …
for efficient DNN inference. However, current edge-… two widely-deployed DNN models (ie, …