Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization | Paper Citation Record

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This paper cites Communication-efficient learning of deep networks from decentralized data,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Communication-efficient learning of deep networks from decentralized data,

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This paper cites A survey on federated learning systems: Vision, hype and reality for data privacy and protection,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization A survey on federated learning systems: Vision, hype and reality for data privacy and protection,

Reference 2

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This paper cites Mixstyle neural networks for domain generalization and adaptation,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Mixstyle neural networks for domain generalization and adaptation,

Reference 3

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This paper cites Madg: Margin-based adversarial learning for domain generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Madg: Margin-based adversarial learning for domain generalization,

Reference 4

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This paper cites Feddg: Federated do- main generalization on medical image segmentation via episodic learn- ing in continuous frequency space,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Feddg: Federated do- main generalization on medical image segmentation via episodic learn- ing in continuous frequency space,

Reference 5

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Observation 80d5a0e1-0ed5-41f7-9b27-04f8a91fa402 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Learning transferable visual models from natural language supervision,

Reference 6

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This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 7

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This paper cites Learning to prompt for vision- language models,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Learning to prompt for vision- language models,

Reference 8

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This paper cites Maple: Multi-modal prompt learning,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Maple: Multi-modal prompt learning,

Reference 9

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This paper cites DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

Reference 10

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This paper cites Federated Domain Generalization via Prompt Learning and Aggregation.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated Domain Generalization via Prompt Learning and Aggregation

Reference 11

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This paper cites Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model,

Reference 12

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Observation b5cbaf2f-0b8f-406f-baa9-c2508c2dd471 · outbound

This paper cites Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models

Reference 13

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Observation 70b62e5e-1d8e-4342-9e5b-64b8ce1c9fa1 · outbound

This paper cites Towards instance-adaptive inference for federated learning,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Towards instance-adaptive inference for federated learning,

Reference 14

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This paper cites Adaptive mixtures of local experts,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Adaptive mixtures of local experts,

Reference 15

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This paper cites Deepseekmoe: Towards ultimate expert special- ization in mixture-of-experts language models,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Deepseekmoe: Towards ultimate expert special- ization in mixture-of-experts language models,

Reference 16

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This paper cites Mixture-of-prompt-experts for multi-modal semantic understanding,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Mixture-of-prompt-experts for multi-modal semantic understanding,

Reference 17

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This paper cites M ´emoire sur la th ´eorie des d ´eblais et des remblais,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization M ´emoire sur la th ´eorie des d ´eblais et des remblais,

Reference 18

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Observation 57cb0e2e-1145-48f1-92f1-73b80ce3c2a5 · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Self-regulating prompts: Foundational model adaptation without forgetting,

Reference 19

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This paper cites Federated optimization in heterogeneous networks,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated optimization in heterogeneous networks,

Reference 20

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This paper cites Fedfame: A data augmentation free framework based on model contrastive learning for federated semi-supervised learning,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Fedfame: A data augmentation free framework based on model contrastive learning for federated semi-supervised learning,

Reference 21

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This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 22

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This paper cites Federated learning with matched averaging,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated learning with matched averaging,

Reference 23

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This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,

Reference 24

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This paper cites FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Reference 25

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This paper cites Fair federated learning under domain skew with local consistency and domain diversity,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Fair federated learning under domain skew with local consistency and domain diversity,

Reference 26

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This paper cites Domain generalization with adversarial feature learning,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Domain generalization with adversarial feature learning,

Reference 27

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This paper cites Unified deep supervised domain adaptation and generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Unified deep supervised domain adaptation and generalization,

Reference 28

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This paper cites Domain generalization with mixstyle,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Domain generalization with mixstyle,

Reference 29

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This paper cites Learning to optimize domain specific normalization for domain generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Learning to optimize domain specific normalization for domain generalization,

Reference 30

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This paper cites Learning to generalize: Meta-learning for domain generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Learning to generalize: Meta-learning for domain generalization,

Reference 31

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This paper cites Do- main generalization via model-agnostic learning of semantic features,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Do- main generalization via model-agnostic learning of semantic features,

Reference 32

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This paper cites Federated domain generaliza- tion for image recognition via cross-client style transfer,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated domain generaliza- tion for image recognition via cross-client style transfer,

Reference 33

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This paper cites Stablefdg: style and attention based learning for federated domain generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Stablefdg: style and attention based learning for federated domain generalization,

Reference 34

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This paper cites Rethinking federated learning with domain shift: A prototype view,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Rethinking federated learning with domain shift: A prototype view,

Reference 35

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This paper cites Federated domain generalization with generalization adjustment,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated domain generalization with generalization adjustment,

Reference 36

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This paper cites Conditional prompt learning for vision-language models,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Conditional prompt learning for vision-language models,

Reference 37

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This paper cites Plot: Prompt learning with optimal transport for vision-language models,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Plot: Prompt learning with optimal transport for vision-language models,

Reference 38

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This paper cites Tuning multi-mode token-level prompt alignment across modalities,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Tuning multi-mode token-level prompt alignment across modalities,

Reference 39

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This paper cites Global and local prompts coop- eration via optimal transport for federated learning,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Global and local prompts coop- eration via optimal transport for federated learning,

Reference 40

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This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 41

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This paper cites Mixture of lora experts,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Mixture of lora experts,

Reference 42

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This paper cites Nonlinear models using dirichlet process mixtures.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Nonlinear models using dirichlet process mixtures

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This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

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This paper cites Fedjets: Efficient just-in-time personalization with federated mixture of experts,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Fedjets: Efficient just-in-time personalization with federated mixture of experts,

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This paper cites Federated Mixture of Experts.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated Mixture of Experts

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This paper cites Language models are unsupervised multitask learners,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Language models are unsupervised multitask learners,

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This paper cites The hungarian method for the assignment problem,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization The hungarian method for the assignment problem,

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This paper cites Deeper, broader and artier domain generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Deeper, broader and artier domain generalization,

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This paper cites Deep hashing network for unsupervised domain adaptation,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Deep hashing network for unsupervised domain adaptation,

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This paper cites Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,

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This paper cites Moment matching for multi-source domain adaptation,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Moment matching for multi-source domain adaptation,

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This paper cites Self-challenging im- proves cross-domain generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Self-challenging im- proves cross-domain generalization,

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This paper cites A fourier-based framework for domain generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization A fourier-based framework for domain generalization,

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This paper cites Swad: Domain generalization by seeking flat minima,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Swad: Domain generalization by seeking flat minima,

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This paper cites Prompt Vision Transformer for Domain Generalization.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Prompt Vision Transformer for Domain Generalization

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This paper cites Hcvp: Leveraging hierarchical contrastive visual prompt for domain generalization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Hcvp: Leveraging hierarchical contrastive visual prompt for domain generalization,

Reference 57

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This paper cites Fedsr: A simple and effective domain generalization method for federated learning,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Fedsr: A simple and effective domain generalization method for federated learning,

Reference 58

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This paper cites Federated Learning with Domain Generalization.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated Learning with Domain Generalization

Reference 59

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This paper cites Fedclip: Fast generalization and personalization for clip in federated learning,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Fedclip: Fast generalization and personalization for clip in federated learning,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T05:29:23.362744Z

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This paper cites Federated adaptive prompt tuning for multi-domain collaborative learning,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated adaptive prompt tuning for multi-domain collaborative learning,

Reference 61

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T05:29:23.370150Z

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Observation 19afa56e-72df-41f1-aeb7-c80fc8679650 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:29:23.528411Z

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Observation 5058db04-b116-4a28-a3c9-7896ee7e8633 · outbound

This paper cites an unresolved cited work.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Unresolved cited work

Reference 2021

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