过去一年中添加的文章，按日期排序
GFD-SSL: generative federated knowledge distillation-based semi-supervised learning
4 天前 - … In many applications, there is a large amount of unlabeled … in [25] for federated
learning. This approach enhances the … resource heterogeneity in federated learning by utilizing …
learning. This approach enhances the … resource heterogeneity in federated learning by utilizing …
FLoCoRA: Federated learning compression with low-rank adaptation
L Grativol Ribeiro, M Leonardon, G Muller… - arXiv e …, 2024 - ui.adsabs.harvard.edu
4 天前 - … In this work, instead, we demonstrate the application of LoRA methods to train
small-vision models in Federated Learning (FL) from scratch. We first propose an aggregation-…
small-vision models in Federated Learning (FL) from scratch. We first propose an aggregation-…
Private Approximate Query over Horizontal Data Federation
A Eddine Laouir, A Imine - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
4 天前 - … The challenges of these applications, especially at the big data scale, are time and
… Privacy (DP) in a private federated environment answering range queries on horizontally …
… Privacy (DP) in a private federated environment answering range queries on horizontally …
[PDF][PDF] Federated Abnormal Heart Sound Detection with Weak to No Labels
W Qiu, C Quan, Y Yu, E Kara, K Qian, B Hu… - Cyborg and Bionic … - spj.science.org
4 天前 - … Federated Learning (FL) is a distributed machine learning … setting of FL medical
applications, where assuming fully … federated unsupervised representation learning 119 and …
applications, where assuming fully … federated unsupervised representation learning 119 and …
Enhanced collaborative intrusion detection for industrial cyber-physical systems using permissioned blockchain and decentralized federated learning networks
5 天前 - … Unfortunately, the current CIDSs based on federated learning and blockchain
technology normally experience a degradation in detection performance following arbitrary multi-…
technology normally experience a degradation in detection performance following arbitrary multi-…
[HTML][HTML] A multifaceted survey on privacy preservation of federated learning: progress, challenges, and opportunities
6 天前 - … We also briefly discuss quantum federated learning (QFL) and privacy-preservation …
We highlight the major applications based on FL. We discuss certain future directions …
We highlight the major applications based on FL. We discuss certain future directions …
Decentralized IoT data sharing: A blockchain-based federated learning approach with joint optimizations for efficiency and privacy
Z Cheng, Y Liu, C Wu, Y Pan, L Zhao, X Deng… - Future Generation …, 2024 - Elsevier
7 天前 - … Blockchain-based Federated Learning (BCFL) is gaining … loosely couple blockchain
and Federated Learning (FL). … and limiting BCFL’s application in data sharing. To address …
and Federated Learning (FL). … and limiting BCFL’s application in data sharing. To address …
DRL-Based Federated Learning for Efficient Vehicular Caching Management
7 天前 - … various vehicular applications and promote efficient content sharing. These approaches
tackled vehicular edge caching (VEC) through the application of machine learning (ML) …
tackled vehicular edge caching (VEC) through the application of machine learning (ML) …
NAC-QFL: Noise Aware Clustered Quantum Federated Learning
H Sahu, HP Gupta - arXiv preprint arXiv:2406.14236, 2024 - arxiv.org
7 天前 - … constrains the practical application of QML in real-world scenarios. This paper
introduces a noiseaware clustered quantum federated learning system that addresses noise …
introduces a noiseaware clustered quantum federated learning system that addresses noise …
FLoCoRA: Federated learning compression with low-rank adaptation
LG Ribeiro, M Leonardon, G Muller, V Fresse… - arXiv preprint arXiv …, 2024 - arxiv.org
7 天前 - … In this work, instead, we demonstrate the application of LoRA methods to train
smallvision models in Federated Learning (FL) from scratch. We first propose an aggregation-…
smallvision models in Federated Learning (FL) from scratch. We first propose an aggregation-…
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