Summary of Lanfl: Differentially Private Federated Learning with Large Language Models Using Synthetic Samples, by Huiyu Wu et al.
LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samplesby Huiyu Wu, Diego…
Summary of Fedspd: a Soft-clustering Approach For Personalized Decentralized Federated Learning, by I-cheng Lin et al.
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learningby I-Cheng Lin, Osman Yagan, Carlee Joe-WongFirst…
Summary of Classifier Clustering and Feature Alignment For Federated Learning Under Distributed Concept Drift, by Junbao Chen et al.
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Driftby Junbao Chen, Jingfeng…
Summary of Fedbaf: Federated Learning Aggregation Biased by a Foundation Model, By Jong-ik Park et al.
FedBaF: Federated Learning Aggregation Biased by a Foundation Modelby Jong-Ik Park, Srinivasa Pranav, José M.…
Summary of Profl: Performative Robust Optimal Federated Learning, by Xue Zheng et al.
ProFL: Performative Robust Optimal Federated Learningby Xue Zheng, Tian Xie, Xuwei Tan, Aylin Yener, Xueru…
Summary of Efficient Adaptive Federated Optimization, by Su Hyeong Lee and Sidharth Sharma and Manzil Zaheer and Tian Li
Efficient Adaptive Federated Optimizationby Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer, Tian LiFirst submitted to…
Summary of Multi-continental Healthcare Modelling Using Blockchain-enabled Federated Learning, by Rui Sun et al.
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learningby Rui Sun, Zhipeng Wang, Hengrui Zhang, Ming Jiang,…
Summary of Federated Transformer: Multi-party Vertical Federated Learning on Practical Fuzzily Linked Data, by Zhaomin Wu et al.
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Databy Zhaomin Wu, Junyi Hou,…
Summary of Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection, by Charuka Herath et al.
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selectionby Charuka Herath,…
Summary of Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integration, by Xiaohuan Bi et al.
Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integrationby Xiaohuan Bi,…