MLSP-P72.8
RFL-NLCP: ROBUST FEDERATED LEARNING WITH NON-IID DATA AND LIMITED CLIENT PARTICIPATION
Jinshan Lai, University of Electronic Science and Technology of China, China; Dongfen Li, Chengdu University of Technology, China; Ruijin Wang, Fengli Zhang, University of Electronic Science and Technology of China, China; Jianwei Hu, QiYuan Lab, China; YinYing Tan, CEC Jiutian Intelligent Technology Co. Ltd., China
Session:
MLSP-P72: Federated Learning Systems and Algorithms II Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 5
Presentation Time:
Fri, 8 May, 09:00 - 11:00
Presentation
Discussion
Resources
No resources available.
Session MLSP-P72
MLSP-P72.1: SecureHDC-FL: Addressing Data Heterogeneity in Encrypted Federated Hyperdimensional Computing
Xiangyu Hu, Jingwei Chen, Wenyuan Wu, Yong Feng, Chongqing Institute of Green and Intelligent Technology, CAS, China
MLSP-P72.2: Predictor-guided Robust Federated Learning against Backdoor Attacks
Yifeng Jiang, Macao Polytechnic University, China; Weiwen Zhang, Guoheng Huang, Guangdong University of Technology, China; Xueyuan Gong, Jinan University, China; xiaochen yuan, Macao Polytechnic University, China
MLSP-P72.3: Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation
Qi Wang, Shituo Ma, Guoxin Yu, Hanyang Peng, Yue Yu, China, China
MLSP-P72.4: FEDLA: FILTER-WISE LEARNABLE AGGREGATION FOR FEDERATED LEARNING UNDER NON-IID DATA
Xiaoyu Gan, Huazhong Agricultural University, China; Jingbo Jiang, The Hong Kong University of Science and Technology, China; Jingyang Zhu, NVIDIA Corporation, China; Xizi Chen, Huazhong Agricultural University, China; Chi-Ying Tsui, The Hong Kong University of Science and Technology, China
MLSP-P72.5: A MODEL-HETEROGENEOUS FEDERATED UNLEARNING METHOD VIA NEGATIVE KNOWLEDGE DISTILLATION
Siyuan Wu, Sheng Lu, Hao Tian, Zheng Li, Guoqiang Liu, Nanjing University, China; Xuyun Zhang, Macquarie University, Australia; Wanchun Dou, Nanjing University, China
MLSP-P72.6: Towards Explainable Privacy Preservation in Federated Learning via Shapley Value-Guided Noise Injection
Yunbo Li, Jiaping Gui, Yue Wu, Shanghai Jiao Tong University, China
MLSP-P72.7: FEDCADS: ROBUST FEDERATED LEARNING VIA DUAL DISTILLATION AND PARTICIPATION-AWARE OPTIMIZATION UNDER NON-IID DATA
Jinshan Lai, University of Electronic Science and Technology of China, China; Dongfen Li, Chengdu University of Technology, China; Fengli Zhang, Ruijin Wang, University of Electronic Science and Technology of China, China; Jianwei Hu, Qiyuan Lab, China; Hua Cheng, Civil Aviation Chengdu Information Technology Co., Ltd, China
MLSP-P72.8: RFL-NLCP: ROBUST FEDERATED LEARNING WITH NON-IID DATA AND LIMITED CLIENT PARTICIPATION
Jinshan Lai, University of Electronic Science and Technology of China, China; Dongfen Li, Chengdu University of Technology, China; Ruijin Wang, Fengli Zhang, University of Electronic Science and Technology of China, China; Jianwei Hu, QiYuan Lab, China; YinYing Tan, CEC Jiutian Intelligent Technology Co. Ltd., China
MLSP-P72.9: ACCELERATING VEHICULAR FEDERATED LEARNING VIA CONVERGENCE-AWARE HIERARCHICAL SCHEDULING
Jiasheng Zhu, Xinrui Gao, Yaolin Wang, Xiamen University, China; Haoran Yang, Central South University, China; Shangpeng Wang, Xiamen University, China
MLSP-P72.10: FEDPAK: SERVER-CENTRIC PROTOTYPE REFINEMENT WITH ADAPTIVE MARGINS AND GENERATIVE KNOWLEDGE TRANSFER FOR HETEROGENEOUS FEDERATED LEARNING
Wenzheng Liu, jing xu, cheng fu, Jie Hu, Ming Yuan, Ronghui Cao, Xiaoyong Tang, Tan Deng, Xiaofeng Wang, School of Computer and Communication Engineering, Changsha University of Science and Technology, China
Contacts