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Found 6 papers, 0 papers with code
V-LoRA: An Efficient and Flexible System Boosts Vision Applications with LoRA LMM
Large Multimodal Models (LMMs) have shown significant progress in various complex vision tasks with the solid linguistic and reasoning capacity inherited from large language models (LMMs).
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge
To achieve this goal, we propose BiSwift, a bi-level framework that scales the concurrent real-time video analytics by a novel adaptive hybrid codec integrated with multi-level pipelines, and a global bandwidth controller for multiple video streams.
AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics
The quality of the video stream is key to neural network-based video analytics.
Quick and Reliable LoRa Physical-layer Data Aggregation through Multi-Packet Reception
Trace-driven simulation results show that the symbol demodulation algorithm outperforms the state-of-the-art MPR decoder by 5. 3$\times$ in terms of physical-layer throughput, and the soft decoder is more robust to unavoidable adverse phase misalignment and estimation error in practice.
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Deep learning models rely on highly optimized tensor libraries for efficient inference on heterogeneous hardware.
Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
Unmanned aerial vehicles (UAVs), or say drones, are envisioned to support extensive applications in next-generation wireless networks in both civil and military fields.
