Paper Citation Record · LEDGER

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.05130.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.05130 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:00.903461Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e687dbad-db3d-40f7-be80-7f25cd028e0a · outbound

This paper cites Vision-language models for vision tasks: A survey,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Vision-language models for vision tasks: A survey,

Reference 1

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Observation 100a0b10-5e50-4d03-a6e0-02beff4459f2 · outbound

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

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Learning transferable visual models from natural language supervision,

Reference 2

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Observation 77792f7e-eb7f-48eb-b0c3-12b61a3bdc78 · outbound

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

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Maple: Multi-modal prompt learning,

Reference 3

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Observation c650d6c4-8e8c-4e11-b8c5-75ca8fe018d6 · outbound

This paper cites Edge intelligence: Paving the last mile of artificial intelligence with edge computing,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Edge intelligence: Paving the last mile of artificial intelligence with edge computing,

Reference 4

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Observation 011ff154-755a-4ee3-a466-2b2ffaf44b95 · outbound

This paper cites Advances and open problems in federated learning,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Advances and open problems in federated learning,

Reference 5

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Observation 8cda77dd-eebd-473e-8b02-a056825da072 · outbound

This paper cites Adaptive asynchronous federated learning in resource-constrained edge computing,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Adaptive asynchronous federated learning in resource-constrained edge computing,

Reference 6

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Observation 14a5b1c9-187f-4d5a-afd6-397e49927ad5 · outbound

This paper cites Fedhome: Cloud-edge based personalized federated learning for in-home health monitoring,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Fedhome: Cloud-edge based personalized federated learning for in-home health monitoring,

Reference 7

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Observation 7472be03-7a86-48fc-ab7d-74053fc02cfb · outbound

This paper cites Communication-efficient federated learning,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Communication-efficient federated learning,

Reference 8

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Observation cd96e179-cf78-4d60-8287-4dddb0ae5d8c · outbound

This paper cites Heterogeneity-aware cooperative federated edge learning with adaptive computation and communication compression,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Heterogeneity-aware cooperative federated edge learning with adaptive computation and communication compression,

Reference 9

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Observation 9b1d5650-bf3a-4bb8-b4a6-e063160f5bf8 · outbound

This paper cites Com- putation and communication efficient federated learning with adaptive model pruning,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Com- putation and communication efficient federated learning with adaptive model pruning,

Reference 10

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Observation 3a972efe-9cf2-4252-9244-946a08aad67b · outbound

This paper cites Federated learning on non-iid data silos: An experimental study,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Federated learning on non-iid data silos: An experimental study,

Reference 11

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Observation 9053e639-37ba-43e6-86be-b700b9022bed · outbound

This paper cites Fedsiam- da: Dual-aggregated federated learning via siamese network for non-iid data,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Fedsiam- da: Dual-aggregated federated learning via siamese network for non-iid data,

Reference 12

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Observation eb13d718-a01e-45b1-82fb-24130d4b9f64 · outbound

This paper cites Overcoming noisy labels and non-iid data in edge federated learning,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Overcoming noisy labels and non-iid data in edge federated learning,

Reference 13

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Observation 0c6c0027-f2b2-482b-b9d1-31fae5c619be · outbound

This paper cites Zero-shot text-to-image generation,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Zero-shot text-to-image generation,

Reference 14

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Observation 6ef43fb4-60f7-49ea-846a-44bb53bf2b2e · outbound

This paper cites Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Reference 15

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Observation c267e6c8-4a9c-4693-84ae-3baa28f97fa0 · outbound

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

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Learning to prompt for vision- language models,

Reference 16

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Observation 46fd5043-3cf9-4ec9-8427-cf087214df44 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

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Observation f0bea161-a0cf-4806-ad2f-5d95d6bc9ef9 · outbound

This paper cites Attention is all you need,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Attention is all you need,

Reference 18

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Observation 16a1d0eb-44ad-485f-8f04-202419271f1b · outbound

This paper cites Parameter-efficient fine-tuning of large- scale pre-trained language models,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Parameter-efficient fine-tuning of large- scale pre-trained language models,

Reference 19

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Observation e27b41e0-bd9f-4078-9b6e-49644f051cda · outbound

This paper cites On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

Reference 20

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Observation 68a1c031-0679-44f2-89c3-90b3a9c105d8 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 21

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Observation d4c0dbc5-b4b0-49d1-92af-ac4177474fa5 · outbound

This paper cites A review of applications in federated learning,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models A review of applications in federated learning,

Reference 22

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Observation 2c7dab51-37a7-40e4-a257-c6d093cbec8d · outbound

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

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Communication-efficient learning of deep networks from decentralized data,

Reference 23

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Observation f073a088-b3c3-433a-a683-f1d0c2eb967f · outbound

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

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model,

Reference 24

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Observation 0d35d450-8d62-4807-99d7-e8360fb6c657 · outbound

This paper cites Federated optimization in heterogeneous networks,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Federated optimization in heterogeneous networks,

Reference 25

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Observation b6cd0f8c-13ed-4746-a5e6-ce2467997adc · outbound

This paper cites Generative adversarial networks,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Generative adversarial networks,

Reference 26

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Observation f0b9b02a-5896-4fb3-a6fb-8c294a9d1d6e · outbound

This paper cites Catastrophic forgetting and mode collapse in gans,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Catastrophic forgetting and mode collapse in gans,

Reference 27

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Observation 16b9fd9c-3b21-45f7-951f-8a6f06c9071c · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Imagenet: A large-scale hierarchical image database,

Reference 28

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This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,

Reference 29

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Observation 613a5372-6286-45ce-b72a-ad810bd56a41 · outbound

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Describing textures in the wild,

Reference 30

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This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classi- fication,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classi- fication,

Reference 31

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 32

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This paper cites Food-101–mining discriminative components with random forests,.

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Food-101–mining discriminative components with random forests,

Reference 33

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Automated flower classification over a large number of classes,

Reference 34

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Cats and dogs,

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models 3d object representations for fine-grained categorization,

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo,

Reference 37

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 38

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Deep residual learning for image recognition,

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models Deep leakage from gradients,

Reference 40

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CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models GPT-4 Technical Report

Reference 41

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Pith citing papers

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