4 papers
Worst-Case Optimal -Rate Stability of KL Divergence under Perturbations of Gaussian Distributions
Jialu Pan, Yufeng Zhang, Nan Hu +3
We establish a stability bound for the Kullback-Leibler (KL) divergence when its Gaussian reference distribution is perturbed. Existing relaxed triangle inequalities of KL divergen…
Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition
Chengling Guo, Yuntao Shou, Tao Meng +3
Multimodal emotion recognition in conversations aims to infer utterance-level emotions by jointly modeling textual, acoustic, and visual cues within context. Despite recent progres…
WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition
Rong Li, Tao Deng, Siwei Feng +4
WiFi-based human activity recognition (HAR) holds significant promise for ubiquitous sensing in smart environments. A critical challenge lies in enabling systems to dynamically ada…
Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization
Dongyu Chen, Tao Deng, He Huang +4
Federated learning (FL) is a promising paradigm that can enable collaborative model training between vehicles while protecting data privacy, thereby significantly improving the per…