Summary of Fedbip: Heterogeneous One-shot Federated Learning with Personalized Latent Diffusion Models, by Haokun Chen et al.
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Modelsby Haokun Chen, Hang Li, Yao…
Summary of Data Similarity-based One-shot Clustering For Multi-task Hierarchical Federated Learning, by Abdulmoneam Ali et al.
Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learningby Abdulmoneam Ali, Ahmed ArafaFirst submitted to…
Summary of Investigating the Effect Of Network Pruning on Performance and Interpretability, by Jonathan Von Rad et al.
Investigating the Effect of Network Pruning on Performance and Interpretabilityby Jonathan von Rad, Florian SeuffertFirst…
Summary of One-shot World Models Using a Transformer Trained on a Synthetic Prior, by Fabio Ferreira and Moreno Schlageter and Raghu Rajan and Andre Biedenkapp and Frank Hutter
One-shot World Models Using a Transformer Trained on a Synthetic Priorby Fabio Ferreira, Moreno Schlageter,…
Summary of Federated One-shot Ensemble Clustering, by Rui Duan et al.
Federated One-Shot Ensemble Clusteringby Rui Duan, Xin Xiong, Jueyi Liu, Katherine P. Liao, Tianxi CaiFirst…