From the 1 of 5 linked papers with an AI index.
5 papers
CABS+: Efficient and Scalable Model Merging via Conflict-Aware Sparsification and Adaptive Weight Allocation
Yuchen Liu, Zongzhen Yang, Binhang Qi +2
Model merging has recently attracted significant attention as a promising paradigm for constructing unified multi-task models without requiring additional retraining. However, para…
Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion
Ying Zhang, Yu Zhao, Xuhui Sui +5
The paper introduces a federated learning framework for multimodal knowledge graph completion that recovers missing multimodal information with a hyper-modal imputation diffusion e…
Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization
Yuliang Chen, Xi Lin, Jun Wu +5
Federated Domain Generalization (FDG) aims to collaboratively train a global model across distributed clients that can generalize well on unseen domains. However, existing FDG meth…
Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting
Zhixin Liu, Xuanlin Liu, Sihan Xu +3
Existing backdoor attacks on multivariate time series (MTS) forecasting enforce strict temporal and dimensional coupling between triggers and target patterns, requiring synchronous…
RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning
Yang Wang, Yaxin Zhao, Xinyu Jiao +4
Insider threat detection aims to identify malicious user behavior by analyzing logs that record user interactions. Due to the lack of fine-grained behavior-level annotations, detec…