Summary of Sa-fedlora: Adaptive Parameter Allocation For Efficient Federated Learning with Lora Tuning, by Yuning Yang et al.
SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuningby Yuning Yang, Xiaohong Liu,…
Summary of Dual-segment Clustering Strategy For Hierarchical Federated Learning in Heterogeneous Wireless Environments, by Pengcheng Sun et al.
Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environmentsby Pengcheng Sun, Erwu Liu,…
Summary of Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy, by Feng Wang et al.
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacyby Feng Wang, M. Cenk Gursoy, Senem…
Summary of Unmasking Efficiency: Learning Salient Sparse Models in Non-iid Federated Learning, by Riyasat Ohib et al.
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learningby Riyasat Ohib, Bishal Thapaliya, Gintare…
Summary of Towards Energy-aware Federated Learning Via Marl: a Dual-selection Approach For Model and Client, by Jun Xia and Yi Zhang and Yiyu Shi
Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Clientby Jun Xia,…
Summary of Mitigating Federated Learning Contribution Allocation Instability Through Randomized Aggregation, by Arno Geimer et al.
Mitigating federated learning contribution allocation instability through randomized aggregationby Arno Geimer, Beltran Fiz, Radu StateFirst…
Summary of Stable Diffusion-based Data Augmentation For Federated Learning with Non-iid Data, by Mahdi Morafah et al.
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Databy Mahdi Morafah, Matthias Reisser, Bill…
Summary of Structured Reinforcement Learning For Incentivized Stochastic Covert Optimization, by Adit Jain and Vikram Krishnamurthy
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimizationby Adit Jain, Vikram KrishnamurthyFirst submitted to arxiv…
Summary of On-demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning, by Mario Chahoud et al.
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learningby Mario Chahoud, Hani…
Summary of Robust Model Aggregation For Heterogeneous Federated Learning: Analysis and Optimizations, by Yumeng Shao et al.
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizationsby Yumeng Shao, Jun Li, Long…