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20182026
most citedPromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model

12 citations · 62 across the 39 of their papers we have counts for

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Showing 2024Show all

11 papers · 1 filter

cs.DC2024★ 1 cited

Deploying Foundation Model Powered Agent Services: A Survey

Wenchao Xu, Jinyu Chen, Peirong Zheng +8

Foundation model (FM) powered agent services are regarded as a promising solution to develop intelligent and personalized applications for advancing toward Artificial General Intel…

cs.LG2024★ 1 cited

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey

Yichen Li, Haozhao Wang, Wenchao Xu +9

Non-Centralized Continual Learning (NCCL) has become an emerging paradigm for enabling distributed devices such as vehicles and servers to handle streaming data from a joint non-st…

cs.LG2024

A QoE-Aware Split Inference Accelerating Algorithm for NOMA-based Edge Intelligence

Xin Yuan, Ning Li, Quan Chen +3

Even the AI has been widely used and significantly changed our life, deploying the large AI models on resource limited edge devices directly is not appropriate. Thus, the model spl…

cs.IT2024

GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network

Yuhao Pan, Xiucheng Wang, Zhiyao Xu +3

Unmanned Aerial Vehicles (UAVs), due to their low cost and high flexibility, have been widely used in various scenarios to enhance network performance. However, the optimization of…

cs.CV2024★ 1 cited

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models

Fushuo Huo, Wenchao Xu, Zhong Zhang +3

While Large Vision-Language Models (LVLMs) have rapidly advanced in recent years, the prevalent issue known as the `hallucination' problem has emerged as a significant bottleneck,…

cs.CV2024★ 1 cited

Detached and Interactive Multimodal Learning

Yunfeng Fan, Wenchao Xu, Haozhao Wang +2

Recently, Multimodal Learning (MML) has gained significant interest as it compensates for single-modality limitations through comprehensive complementary information within multimo…

cs.LG2024

Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles

Jianzhe Xue, Dongcheng Yuan, Yu Sun +5

The growing number of connected vehicles offers an opportunity to leverage internet of vehicles (IoV) data for traffic state estimation (TSE) which plays a crucial role in intellig…

cs.AI2024

ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery using Limited Data

Doncheng Yuan, Jianzhe Xue, Jinshan Su +2

Traffic flow estimation (TFE) is crucial for urban intelligent traffic systems. While traditional on-road detectors are hindered by limited coverage and high costs, cloud computing…

cs.CR2024★ 1 cited

Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation

Zhaoyi Lu, Wenchao Xu, Ming Tu +3

Radio Frequency (RF) fingerprinting is to identify a wireless device from its uniqueness of the analog circuitry or hardware imperfections. However, unlike the MAC address which ca…

cs.DC2024

OTAS: An Elastic Transformer Serving System via Token Adaptation

Jinyu Chen, Wenchao Xu, Zicong Hong +4

Transformer model empowered architectures have become a pillar of cloud services that keeps reshaping our society. However, the dynamic query loads and heterogeneous user requireme…

cs.LG2024

Disentangle Estimation of Causal Effects from Cross-Silo Data

Yuxuan Liu, Haozhao Wang, Shuang Wang +4

Estimating causal effects among different events is of great importance to critical fields such as drug development. Nevertheless, the data features associated with events may be d…