模型压缩率的个性化调整。 Multimodal local training. Multimodal FedAvg 参考文献: Multimodal Machine Learning: A Survey and Taxonomy Multimodal Federated Learning on IoT Data Towards Optimal Multi-Modal Federated Learning on
CL aims to learn new knowledge incrementally without forgetting prior experience, approaches which follow the taxonomy as regularization-based, replay-based and architecture-based (Section 2.1.3). C…
来自综述中的定义:“we use the term feature and representation interchangeably, with each referring to a vector or tensor representation of an entity, be it an image, audio sample, individual word, or a sentence. A multimodal representation is a representation of data using information from multipl...
来自综述中的定义:“we use the term feature and representation interchangeably, with each referring to a vector or tensor representation of an entity, be it an image, audio sample, individual word, or a sentence. A multimodal representation is a representation of data using information from multipl...
In Section 3, we introduce our taxonomy of SIR approaches and tools, while describing each of these categories in 4 Social web search, 5 Social search, 6 Social recommendation. In Section 7, we elaborate on an analysis of some of these contributions and tools based on several dimensions. ...
ArticleADSCASPubMedGoogle Scholar von Rueden, L. et al. Informed machine learning - a taxonomy and survey of integrating prior knowledge into learning systems.IEEE Trans. Knowl. Data Eng.
With the latest advances in deep learning-based generative models, it has not taken long to take advantage of their remarkable performance in the area of t
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions arXiv 2023 A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions arXiv 2023 Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy arXiv 2023 Machine Unlearning: A Survey ...
The main contributions of this survey are: (i) a detailed introduction and analysis of simulators modelling cloud, IoT and fog systems; (ii) the identification and definition of viewpoints (including software quality metrics) and a taxonomy for classifying them; and (iii) a throughout categorisati...
A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis. WIREs Data Mining Knowl. Discov. 2020 paper bib Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu A Survey of Code-switched Speech and Language Processing. arXiv 2019 paper bib Sunayana Sitaram, Khyathi ...