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…
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Modelsby Haokun Chen, Hang Li, Yao…
Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learningby Abdulmoneam Ali, Ahmed ArafaFirst submitted to…
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CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Networkby Zijian Zhao, Tingwei Chen,…
Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanismby Guanchen Li, Xiandong Zhao, Lian Liu,…
LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Modelsby Yupeng Su, Ziyi…
Semi-Supervised One-Shot Imitation Learningby Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter…