Summary of Fedqp: Towards Accurate Federated Learning Using Quadratic Programming Guided Mutation, by Jiawen Weng et al.
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutationby Jiawen Weng, Zeke Xia, Ran…
Summary of Tackling Data Heterogeneity in Federated Time Series Forecasting, by Wei Yuan et al.
Tackling Data Heterogeneity in Federated Time Series Forecastingby Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc…
Summary of Partial Knowledge Distillation For Alleviating the Inherent Inter-class Discrepancy in Federated Learning, by Xiaoyu Gan et al.
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learningby Xiaoyu Gan, Xizi…
Summary of Geminio: Language-guided Gradient Inversion Attacks in Federated Learning, by Junjie Shan et al.
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learningby Junjie Shan, Ziqi Zhao, Jialin Lu, Rui…
Summary of Lora-fair: Federated Lora Fine-tuning with Aggregation and Initialization Refinement, by Jieming Bian et al.
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinementby Jieming Bian, Lei Wang, Letian Zhang,…
Summary of Fedmllm: Federated Fine-tuning Mllm on Multimodal Heterogeneity Data, by Binqian Xu et al.
FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Databy Binqian Xu, Xiangbo Shu, Haiyang Mei, Guosen…
Summary of Refol: Resource-efficient Federated Online Learning For Traffic Flow Forecasting, by Qingxiang Liu et al.
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecastingby Qingxiang Liu, Sheng Sun, Yuxuan Liang,…
Summary of Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization, by Yunrui Sun and Gang Hu and Yinglei Teng and Dunbo Cai
Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimizationby Yunrui Sun, Gang Hu, Yinglei…
Summary of Attribute Inference Attacks For Federated Regression Tasks, by Francesco Diana et al.
Attribute Inference Attacks for Federated Regression Tasksby Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia,…
Summary of Non-iid Data in Federated Learning: a Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions, by Daniel M. Jimenez G. et al.
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directionsby…