Zobrazeno 1 - 10
of 20 227
pro vyhledávání: '"model update"'
Autor:
Echterhoff, Jessica, Faghri, Fartash, Vemulapalli, Raviteja, Hu, Ting-Yao, Li, Chun-Liang, Tuzel, Oncel, Pouransari, Hadi
Large Language Models (LLMs) are regularly updated to enhance performance, typically through changes in data or architecture. Within the update process, developers often prioritize improving overall performance metrics, paying less attention to maint
Externí odkaz:
http://arxiv.org/abs/2407.09435
In this article, we introduce an adaptive online model update algorithm designed for predictive control applications in networked systems, particularly focusing on power distribution systems. Unlike traditional methods that depend on historical data
Externí odkaz:
http://arxiv.org/abs/2405.00637
A novel Decentralized Noisy Model Update Tracking Federated Learning algorithm (FedNMUT) is proposed that is tailored to function efficiently in the presence of noisy communication channels that reflect imperfect information exchange. This algorithm
Externí odkaz:
http://arxiv.org/abs/2403.13247
Autor:
Alsulaimawi, Zahir
This paper introduces an advanced approach for fortifying Federated Learning (FL) systems against label-flipping attacks. We propose a simplified consensus-based verification process integrated with an adaptive thresholding mechanism. This dynamic th
Externí odkaz:
http://arxiv.org/abs/2403.04803
AIOps (Artificial Intelligence for IT Operations) solutions leverage the massive data produced during the operation of large-scale systems and machine learning models to assist software engineers in their system operations. As operation data produced
Externí odkaz:
http://arxiv.org/abs/2311.03213
Autor:
Liu, Ji, Jia, Juncheng, Che, Tianshi, Huo, Chao, Ren, Jiaxiang, Zhou, Yang, Dai, Huaiyu, Dou, Dejing
As a promising approach to deal with distributed data, Federated Learning (FL) achieves major advancements in recent years. FL enables collaborative model training by exploiting the raw data dispersed in multiple edge devices. However, the data is ge
Externí odkaz:
http://arxiv.org/abs/2312.05770
Autor:
Chen, Zong
Unmanned Surface Vehicles (USVs) play a pivotal role in various applications, including surface rescue, commercial transactions, scientific exploration, water rescue, and military operations. The effective control of high-speed unmanned surface boats
Externí odkaz:
http://arxiv.org/abs/2311.17297
While large deep neural networks excel at general video analytics tasks, the significant demand on computing capacity makes them infeasible for real-time inference on resource-constrained end cam-eras. In this paper, we propose an edge-assisted frame
Externí odkaz:
http://arxiv.org/abs/2308.16413
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Akademický článek
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