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EdgeFM@MobiSys 2024: Minato-ku, Tokyo, Japan

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Proceedings of the Workshop on Edge and Mobile Foundation Models, EdgeFM 2024, Minato-ku, Tokyo, Japan, June 3-7, 2024. ACM 2024
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Xiang Li, Zhenyan Lu, Dongqi Cai, Xiao Ma, Mengwei Xu:
Large Language Models on Mobile Devices: Measurements, Analysis, and Insights. 1-6
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Yizhen Yuan, Rui Kong, Yuanchun Li, Yunxin Liu:
WiP: An On-device LLM-based Approach to Query Privacy Protection. 7-9
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Swarnava Dey, Arijit Mukherjee, Arijit Ukil, Arpan Pal:
Towards a Task-agnostic Distillation Methodology for Creating Edge Foundation Models. 10-15
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Wenjie Li, Xiaoyang Liu, Zihao Zheng, Jishun Wang, Kang Ling, Ming Fu:
WiP: A Solution for Reducing MLLM-Based Agent Interaction Overhead. 16-17
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Jiacheng Liu, Wenxing Xu, Yuanchun Li:
ChainStream: A Stream-based LLM Agent Framework for Continuous Context Sensing and Sharing. 18-23
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Zhizhang Hu, Yue Zhang, Ryan A. Rossi, Tong Yu, Sungchul Kim, Shijia Pan:
Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis? 24-29
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Liangyu Wang, Junxiao Wang, Di Wang:
WiP: Towards Light Adaptation of Large Language Models For Personal Hardware. 30-32
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Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Mengwei Xu, Xuanzhe Liu:
WiP: Efficient LLM Prefilling with Mobile NPU. 33-35
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Zixu Hao, Huiqiang Jiang, Shiqi Jiang, Ju Ren, Ting Cao:
Hybrid SLM and LLM for Edge-Cloud Collaborative Inference. 36-41

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