Pan, Miao

10 publications

ICLR 2026 Enhancing Communication Compression via Discrepancy-Aware Calibration for Federated Learning Zhiyi Wan, Yijia Chi, Liang Li, Wanrou Du, Miao Pan, Xiaoqi Qin

WACV 2025 Bit-Flip Induced Latency Attacks in Object Detection Manojna Sistla, Yu Wen, Aamir Bader Shah, Chenpei Huang, Lening Wang, Xuqing Wu, Jiefu Chen, Miao Pan, Xin Fu

CVPRW 2025 MoF-Image: Generating Mixture-of-Features Video Game Image Dataset via GPU Rendering Simulation Yu Wen, Xingke Yang, Aamir Bader Shah, Ruizhi Cao, Miao Pan, Chenhao Xie, Xin Fu

AAAI 2025 WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling Huai-An Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan

WACV 2024 PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan

ICMLW 2023 Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang

ICCV 2023 Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization Rui Chen, Qiyu Wan, Pavana Prakash, Lan Zhang, Xu Yuan, Yanmin Gong, Xin Fu, Miao Pan

WACV 2021 Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T.C. Wong, Hien Van Nguyen, Miao Pan

AAAI 2021 Differentially Private and Communication Efficient Collaborative Learning Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan

AAAI 2020 Differentially Private and Fair Classification via Calibrated Functional Mechanism Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan