5 papers
SPICE: Synergy and Partial Information Based Curriculum Evolution
Ankush Pratap Singh, Houwei Cao, Yong Liu
Multimodal learning exploits complementary information across heterogeneous modalities. The informativeness of each modality can vary widely across samples and training stages. Exi…
PID-Guided Partial Alignment for Multimodal Decentralized Federated Learning
Yanhang Shi, Xiaoyu Wang, Houwei Cao +2
Multimodal decentralized federated learning (DFL) must support collaboration among agents that hold different modality subsets and often different model components, while operating…
CHUCKLE -- When Humans Teach AI To Learn Emotions The Easy Way
Ankush Pratap Singh, Houwei Cao, Yong Liu
Curriculum learning (CL) structures training from simple to complex samples, facilitating progressive learning. However, existing CL approaches for emotion recognition often rely o…
Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang, Guojun Xiong, Houwei Cao +2
Federated Learning (FL) trains a shared model using data and computation power on distributed agents coordinated by a central server. Decentralized FL (DFL) utilizes local model ex…
Coffee: Cost-Effective Edge Caching for 360 Degree Live Video Streaming
Chen Li, Tingwei Ye, Tongyu Zong +3
While live 360 degree video streaming delivers immersive viewing experience, it poses significant bandwidth and latency challenges for content delivery networks. Edge servers are e…