Summary of Dynamicfl: Federated Learning with Dynamic Communication Resource Allocation, by Qi Le et al.
DynamicFL: Federated Learning with Dynamic Communication Resource Allocationby Qi Le, Enmao Diao, Xinran Wang, Vahid…
Summary of Some Results on Neural Network Stability, Consistency, and Convergence: Insights Into Non-iid Data, High-dimensional Settings, and Physics-informed Neural Networks, by Ronald Katende et al.
Some Results on Neural Network Stability, Consistency, and Convergence: Insights into Non-IID Data, High-Dimensional Settings,…
Summary of Fedmodule: a Modular Federated Learning Framework, by Chuyi Chen et al.
FedModule: A Modular Federated Learning Frameworkby Chuyi Chen, Zhe Zhang, Yanchao ZhaoFirst submitted to arxiv…
Summary of Unlocking the Potential Of Model Calibration in Federated Learning, by Yun-wei Chu et al.
Unlocking the Potential of Model Calibration in Federated Learningby Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour,…
Summary of Can We Theoretically Quantify the Impacts Of Local Updates on the Generalization Performance Of Federated Learning?, by Peizhong Ju et al.
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated…
Summary of Active-passive Federated Learning For Vertically Partitioned Multi-view Data, by Jiyuan Liu et al.
Active-Passive Federated Learning for Vertically Partitioned Multi-view Databy Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen…
Summary of Wind Turbine Condition Monitoring Based on Intra- and Inter-farm Federated Learning, by Albin Grataloup et al.
Wind turbine condition monitoring based on intra- and inter-farm federated learningby Albin Grataloup, Stefan Jonas,…
Summary of Vflgan-ts: Vertical Federated Learning-based Generative Adversarial Networks For Publication Of Vertically Partitioned Time-series Data, by Xun Yuan and Zilong Zhao and Prosanta Gope and Biplab Sikdar
VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-Series Databy Xun…
Summary of Coast: Validation-free Contribution Assessment For Federated Learning Based on Cross-round Valuation, by Hao Wu et al.
CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuationby Hao Wu, Likun Zhang,…
Summary of Robust Federated Finetuning Of Foundation Models Via Alternating Minimization Of Lora, by Shuangyi Chen et al.
Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRAby Shuangyi Chen, Yue Ju,…