Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Jiang, Siyang"'
In sectors such as finance and healthcare, where data governance is subject to rigorous regulatory requirements, the exchange and utilization of data are particularly challenging. Federated Learning (FL) has risen as a pioneering distributed machine
Externí odkaz:
http://arxiv.org/abs/2408.06197
Autor:
Yang, Bufang, Jiang, Siyang, Xu, Lilin, Liu, Kaiwei, Li, Hai, Xing, Guoliang, Chen, Hongkai, Jiang, Xiaofan, Yan, Zhenyu
Large language models (LLMs) have the potential to transform digital healthcare, as evidenced by recent advances in LLM-based virtual doctors. However, current approaches rely on patient's subjective descriptions of symptoms, causing increased misdia
Externí odkaz:
http://arxiv.org/abs/2405.12541
As privacy concerns continue to grow, federated learning (FL) has gained significant attention as a promising privacy-preserving technology, leading to considerable advancements in recent years. Unlike traditional machine learning, which requires cen
Externí odkaz:
http://arxiv.org/abs/2312.12091
Support-query shift few-shot learning aims to classify unseen examples (query set) to labeled data (support set) based on the learned embedding in a low-dimensional space under a distribution shift between the support set and the query set. However,
Externí odkaz:
http://arxiv.org/abs/2309.02088
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift
Few-shot learning methods aim to embed the data to a low-dimensional embedding space and then classify the unseen query data to the seen support set. While these works assume that the support set and the query set lie in the same embedding space, a d
Externí odkaz:
http://arxiv.org/abs/2205.03817
Publikováno v:
In Atmospheric Environment 1 October 2024 334
Publikováno v:
In Research Policy January 2025 54(1)
Autor:
Peng, Dongjie, Wang, Leilei, Fang, Yuanyuan, Lu, Lili, Li, Zhaocong, Jiang, Siyang, Chen, Jing, Aschner, Michael, Li, Shaojun, Jiang, Yueming
Publikováno v:
In Environmental Research 15 August 2024 255
Publikováno v:
In Mechanical Systems and Signal Processing 1 May 2024 213
Many complex multi-agent systems such as robot swarms control and autonomous vehicle coordination can be modeled as Multi-Agent Reinforcement Learning (MARL) tasks. QMIX, a widely popular MARL algorithm, has been used as a baseline for the benchmark
Externí odkaz:
http://arxiv.org/abs/2102.03479