Lim, Wei Yang Bryan

9 publications

NeurIPS 2025 AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference Che Wang, Ziqi Zhang, Yinggui Wang, Tiantong Wang, Yurong Hao, Jianbo Gao, Tao Wei, Yang Cao, Zhong Chen, Wei Yang Bryan Lim

ICLR 2025 Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim

NeurIPS 2025 FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning Fan Wu, Xinyu Yan, Jiabei Liu, Wei Yang Bryan Lim

CVPR 2025 Unlearning Through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter Zhengyi Zhong, Weidong Bao, Ji Wang, Shuai Zhang, Jingxuan Zhou, Lingjuan Lyu, Wei Yang Bryan Lim

AAAI 2022 CrowdFL: A Marketplace for Crowdsourced Federated Learning Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Chunyan Miao

AAAI 2022 Dynamic Incentive Mechanism Design for COVID-19 Social Distancing Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao

AAAI 2021 AI-Empowered Decision Support for COVID-19 Social Distancing Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao

IJCAI 2021 Communication-Efficient and Scalable Decentralized Federated Edge Learning Austine Zong Han Yapp, Hong Soo Nicholas Koh, Yan Ting Lai, Jiawen Kang, Xuandi Li, Jer Shyuan Ng, Hongchao Jiang, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato

IJCAI 2021 Predictive Analytics for COVID-19 Social Distancing Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao