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EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge.

, , , , , , , и . SenSys, стр. 111-124. ACM, (2023)

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Dchi-ling Ling

Ling Lan

Bernhard Ling

Paul Ling

Fuhua Ling

 

Другие публикации лиц с тем же именем

Poster Abstract: Unifying On-device Tensor Program Optimization through Large Foundation Model., , , , и . SenSys, стр. 504-505. ACM, (2023)CoEdge: A Cooperative Edge System for Distributed Real-Time Deep Learning Tasks., , , , , , , и . IPSN, стр. 53-66. ACM, (2023)Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization., , , , , , и . CoRR, (2022)Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems., , , , , и . CoRR, (2023)Aaron: Compile-Time Kernel Adaptation for Multi-DNN Inference Acceleration on Edge GPU., , , и . SenSys, стр. 802-803. ACM, (2022)BlastNet: Exploiting Duo-Blocks for Cross-Processor Real-Time DNN Inference., , , , , и . SenSys, стр. 91-105. ACM, (2022)An Indoor Smart Traffic Dataset and Data Collection System: Dataset., , , , и . SenSys, стр. 1007-1010. ACM, (2022)EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge., , , , , , , и . SenSys, стр. 111-124. ACM, (2023)RT-mDL: Supporting Real-Time Mixed Deep Learning Tasks on Edge Platforms., , , , и . SenSys, стр. 1-14. ACM, (2021)Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training., , , , , , , , и . MobiSys, стр. 530-543. ACM, (2023)