Federated Domain Generalization via Prompt Learning and Aggregation
Fuente:
arXiv
Guardado en:
| Autores principales: | Gong, Shuai, Cui, Chaoran, Zhang, Chunyun, Wang, Wenna, Nie, Xiushan, Zhu, Lei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
por: Gong, Shuai, et al.
Publicado: (2025)
por: Gong, Shuai, et al.
Publicado: (2025)
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
por: Bai, Sikai, et al.
Publicado: (2024)
por: Bai, Sikai, et al.
Publicado: (2024)
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation
por: Elbatel, Marawan, et al.
Publicado: (2024)
por: Elbatel, Marawan, et al.
Publicado: (2024)
FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
por: Devkota, Alina, et al.
Publicado: (2026)
por: Devkota, Alina, et al.
Publicado: (2026)
Federated Domain Generalization with Latent Space Inversion
por: Palakkadavath, Ragja, et al.
Publicado: (2025)
por: Palakkadavath, Ragja, et al.
Publicado: (2025)
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
por: Cao, Qinglong, et al.
Publicado: (2024)
por: Cao, Qinglong, et al.
Publicado: (2024)
Rethinking the Evaluation Protocol of Domain Generalization
por: Yu, Han, et al.
Publicado: (2023)
por: Yu, Han, et al.
Publicado: (2023)
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
por: Ma'sum, Muhammad Anwar, et al.
Publicado: (2024)
por: Ma'sum, Muhammad Anwar, et al.
Publicado: (2024)
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
por: Zhang, Yabin, et al.
Publicado: (2024)
por: Zhang, Yabin, et al.
Publicado: (2024)
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
por: Mistretta, Marco, et al.
Publicado: (2024)
por: Mistretta, Marco, et al.
Publicado: (2024)
From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows
por: Zhang, Cenwei, et al.
Publicado: (2026)
por: Zhang, Cenwei, et al.
Publicado: (2026)
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
por: Zhang, Jiahan, et al.
Publicado: (2024)
por: Zhang, Jiahan, et al.
Publicado: (2024)
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification
por: RahimiZadeh, Keyvan, et al.
Publicado: (2025)
por: RahimiZadeh, Keyvan, et al.
Publicado: (2025)
Gradient Harmonization in Unsupervised Domain Adaptation
por: Huang, Fuxiang, et al.
Publicado: (2024)
por: Huang, Fuxiang, et al.
Publicado: (2024)
Minority-Focused Text-to-Image Generation via Prompt Optimization
por: Um, Soobin, et al.
Publicado: (2024)
por: Um, Soobin, et al.
Publicado: (2024)
Residual SODAP: Residual Self-Organizing Domain-Adaptive Prompting with Structural Knowledge Preservation for Continual Learning
por: Oh, Gyutae, et al.
Publicado: (2026)
por: Oh, Gyutae, et al.
Publicado: (2026)
Learning to Learn Weight Generation via Local Consistency Diffusion
por: Guan, Yunchuan, et al.
Publicado: (2025)
por: Guan, Yunchuan, et al.
Publicado: (2025)
Direct Distillation between Different Domains
por: Tang, Jialiang, et al.
Publicado: (2024)
por: Tang, Jialiang, et al.
Publicado: (2024)
An Efficient and Multi-private Key Secure Aggregation for Federated Learning
por: Yang, Xue, et al.
Publicado: (2023)
por: Yang, Xue, et al.
Publicado: (2023)
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
por: Jalali, Mohammad, et al.
Publicado: (2025)
por: Jalali, Mohammad, et al.
Publicado: (2025)
Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains
por: Salmè, Marco, et al.
Publicado: (2025)
por: Salmè, Marco, et al.
Publicado: (2025)
PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
por: Lotfian, Mehdi, et al.
Publicado: (2026)
por: Lotfian, Mehdi, et al.
Publicado: (2026)
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
por: Ma'sum, M. Anwar, et al.
Publicado: (2025)
por: Ma'sum, M. Anwar, et al.
Publicado: (2025)
PackDiT: Joint Human Motion and Text Generation via Mutual Prompting
por: Jiang, Zhongyu, et al.
Publicado: (2025)
por: Jiang, Zhongyu, et al.
Publicado: (2025)
Image Captions are Natural Prompts for Text-to-Image Models
por: Lei, Shiye, et al.
Publicado: (2023)
por: Lei, Shiye, et al.
Publicado: (2023)
Graph Your Own Prompt
por: Ding, Xi, et al.
Publicado: (2025)
por: Ding, Xi, et al.
Publicado: (2025)
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
por: Yuan, Haolin, et al.
Publicado: (2025)
por: Yuan, Haolin, et al.
Publicado: (2025)
Geometric Point Attention Transformer for 3D Shape Reassembly
por: Li, Jiahan, et al.
Publicado: (2024)
por: Li, Jiahan, et al.
Publicado: (2024)
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
por: Liu, Lei, et al.
Publicado: (2024)
por: Liu, Lei, et al.
Publicado: (2024)
Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
por: Wang, Zixi, et al.
Publicado: (2025)
por: Wang, Zixi, et al.
Publicado: (2025)
RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
por: Hong, Kiseong, et al.
Publicado: (2025)
por: Hong, Kiseong, et al.
Publicado: (2025)
Bi-Level Optimization for Single Domain Generalization
por: Heidari, Marzi, et al.
Publicado: (2026)
por: Heidari, Marzi, et al.
Publicado: (2026)
Federated Learning for Face Recognition via Intra-subject Self-supervised Learning
por: Kim, Hansol, et al.
Publicado: (2024)
por: Kim, Hansol, et al.
Publicado: (2024)
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
por: Yu, Hao, et al.
Publicado: (2024)
por: Yu, Hao, et al.
Publicado: (2024)
Towards Cross-Domain Continual Learning
por: de Carvalho, Marcus, et al.
Publicado: (2024)
por: de Carvalho, Marcus, et al.
Publicado: (2024)
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
por: Zaccone, Riccardo, et al.
Publicado: (2023)
por: Zaccone, Riccardo, et al.
Publicado: (2023)
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
por: Zhang, Yichi, et al.
Publicado: (2024)
por: Zhang, Yichi, et al.
Publicado: (2024)
FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation
por: Tan, Min, et al.
Publicado: (2026)
por: Tan, Min, et al.
Publicado: (2026)
Robust Federated Learning against Noisy Clients via Masked Optimization
por: Jiang, Xuefeng, et al.
Publicado: (2025)
por: Jiang, Xuefeng, et al.
Publicado: (2025)
Motion meets Attention: Video Motion Prompts
por: Chen, Qixiang, et al.
Publicado: (2024)
por: Chen, Qixiang, et al.
Publicado: (2024)
Ejemplares similares
-
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
por: Gong, Shuai, et al.
Publicado: (2025) -
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
por: Bai, Sikai, et al.
Publicado: (2024) -
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation
por: Elbatel, Marawan, et al.
Publicado: (2024) -
FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
por: Devkota, Alina, et al.
Publicado: (2026) -
Federated Domain Generalization with Latent Space Inversion
por: Palakkadavath, Ragja, et al.
Publicado: (2025)