CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
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Updated
Nov 11, 2024 - Python
CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
A model for Domain Adaptation, Alignment and Translation using multiple sources of data.
Unofficial PyTorch implementation of Domain-Adversarial Training of Neural Networks
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
L2S-KDNet for super-resolving brain graphs using teacher-student network
Template-based federated multiview domain alignment
Learning-guided Graph Dual Adversarial Domain Alignment (LG-DADA) framework for predicting a target graph from a source graph.
Unofficial PyTorch implementation of Maximum Domain Confusion loss for Unsupervised Domain Adaptation
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