5 papers
AReaL-RSI: Adaptive Scaling and Coordination of Recursive Self-Improvement
Wenhao Zhou, Jiajun Song, Haitao Wang +11
Scaling recursive self-improvement requires additional computation to produce useful research progress in reaching persistent objectives. Intuitively, more researcher agents can ex…
AReaL-DTE: Sparse Policy-Weight Transfer for Online Agentic Reinforcement Learning
Yingqi Peng, Jiawei Zhang, Wenhao Zhou +7
Online agentic reinforcement learning implemented with micro-services separates policy training from rollout generation, improving scalability and modularity while potentially maki…
SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices
Jiaming Huang, Yi Gao, Fuchang Pan +2
With the rapid growth of the Internet of Things (IoT), integrating artificial intelligence (AI) on extremely weak embedded devices has garnered significant attention, enabling impr…
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
Tong Sun, Bowen Jiang, Hailong Lin +4
To safeguard user data privacy, on-device inference has emerged as a prominent paradigm on mobile and Internet of Things (IoT) devices. This paradigm involves deploying a model pro…
Edge Cloud Collaborative Stream Computing for Real-Time Structural Health Monitoring
Wenzhao Zhang, Cheng Guo, Yi Gao +1
Structural Health Monitoring (SHM) is crucial for the safety and maintenance of various infrastructures. Due to the large amount of data generated by numerous sensors and the high…