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From the 1 of 14 linked papers with an AI index.

collaborators

14 papers

cs.NI2026

Active Movable-Element RIS Assisted Vehicular Semantic Communications: Modeling and Optimization

Maoxin Ji, Qiong Wu, Jingbo Zhang +5

The paper proposes a vehicular semantic communication system that employs a row‑movable active reconfigurable intelligent surface (RM‑A‑RIS) whose elements can both move and amplif…

cs.LG2026

Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention

Qijun Hou, Yuchen Shi, Pingyi Fan +1

Federated learning relies on effective client selection to alleviate the performance degradation caused by data heterogeneity. Most existing methods assume full visibility of all c…

cs.DC2026

SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space Networks

Zhanwei Wang, Huiling Yang, Min Sheng +2

Leveraging continuous solar energy harvesting at high efficiency, space data centers are envisioned as a promising platform for executing energy-intensive large language models (LL…

cs.CR2026

PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems

Wei Sun, Yijun Chen, Bo Gao +4

Federated learning (FL) is vulnerable to data poisoning attacks due to its distributed nature. Although recent GAN-based data poisoning methods have indicated the potential of usin…

cs.LG2026

FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference

Qijun Hou, Yuchen Shi, Pingyi Fan +1

Federated Learning (FL) facilitates collaborative model training across decentralized clients while preserving data privacy by avoiding raw data exchange. Despite its potential, FL…

eess.SP2026

Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications

Hai-Long Qin, Jincheng Dai, Guo Lu +6

Semantic communications mark a paradigm shift from bit-accurate transmission toward meaning-centric communication, essential as wireless systems approach theoretical capacity limit…