Summary of Framework For Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare, by Suraj Racha et al.
Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcareby Suraj Racha, Shubh…
Summary of Evidential Federated Learning For Skin Lesion Image Classification, by Rutger Hendrix et al.
Evidential Federated Learning for Skin Lesion Image Classificationby Rutger Hendrix, Federica Proietto Salanitri, Concetto Spampinato,…
Summary of Fedrewind: Rewinding Continual Model Exchange For Decentralized Federated Learning, by Luca Palazzo et al.
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learningby Luca Palazzo, Matteo Pennisi, Federica Proietto…
Summary of Safeloc: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning For Indoor Localization, by Akhil Singampalli et al.
SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localizationby Akhil Singampalli,…
Summary of Fedsub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems, by Mattia Giovanni Campana and Franca Delmastro
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systemsby Mattia Giovanni…
Summary of A Stochastic Optimization Framework For Private and Fair Learning From Decentralized Data, by Devansh Gupta et al.
A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Databy Devansh Gupta, A.S.…
Summary of On the Convergence Of Continual Federated Learning Using Incrementally Aggregated Gradients, by Satish Kumar Keshri et al.
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradientsby Satish Kumar Keshri, Nazreen…
Summary of Dual-criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality, by Haizhou Zhang et al.
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Qualityby Haizhou Zhang, Xianjia Yu,…
Summary of Efficient Federated Finetuning Of Tiny Transformers with Resource-constrained Devices, by Kilian Pfeiffer et al.
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devicesby Kilian Pfeiffer, Mohamed Aboelenien Ahmed, Ramin…
Summary of Federated Learning Client Pruning For Noisy Labels, by Mahdi Morafah et al.
Federated Learning Client Pruning for Noisy Labelsby Mahdi Morafah, Hojin Chang, Chen Chen, Bill LinFirst…