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Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity.

, , , , , , and . CoRR, (2023)

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Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity., , , , , , and . CoRR, (2023)Federated Learning with Intermediate Representation Regularization., , , , and . BigComp, page 56-63. IEEE, (2023)Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality., , , , , and . CoRR, (2024)Attention on Personalized Clinical Decision Support System: Federated Learning Approach., , , and . BigComp, page 141-147. IEEE, (2021)Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement., , , and . APNOMS, page 1-6. IEEE, (2022)Contrastive encoder pre-training-based clustered federated learning for heterogeneous data., , , , and . Neural Networks, (August 2023)A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?, , , , , , , , , and 7 other author(s). CoRR, (2023)Federated Learning based Energy Demand Prediction with Clustered Aggregation., , , and . CoRR, (2022)Federated Learning with Intermediate Representation Regularization., , , and . CoRR, (2022)Attention on Personalized Clinical Decision Support System: Federated Learning Approach., , , and . CoRR, (2024)