Paper Citation Record · LEDGER

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion

As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2506.21144.

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

pith.paper-citation-record.v1
2506.21144 v1

Coverage vector

measured 59 of 59 reference resolution

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measured 60 of 60 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:36:39.308309Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:53:28.990736Z

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation 3d9540a4-7cde-4e3e-883d-4efea569bb13 · outbound

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Learning transferable visual models from natural language supervision,

Reference 1

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Observation a1dc1e37-84b7-4b06-bb30-105f20a4615b · outbound

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Promptfl: Let feder- ated participants cooperatively learn prompts instead of models-federated learning in age of foundation model,

Reference 2

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Observation 4dbe9e80-1cca-41d2-86ab-eb6cd4234103 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Federated optimization in heterogeneous networks,

Reference 3

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Observation 0701138a-da7c-4aa5-bbba-efa32e55516d · outbound

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Global and local prompts coop- eration via optimal transport for federated learning,

Reference 4

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Observation c9b15bb7-2d0f-4e7f-bb5a-d064bd9dfab6 · outbound

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Communication-efficient learning of deep networks from decentralized data,

Reference 5

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Observation 6882a275-b96b-492a-b12e-99218086745b · outbound

This paper cites Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models

Reference 6

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Observation a6a034c2-686a-4d59-8c34-048854b9dfb6 · outbound

This paper cites Feddisco: Fed- erated learning with discrepancy-aware collaboration,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Feddisco: Fed- erated learning with discrepancy-aware collaboration,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:37:00.588972Z

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Observation c14fca99-caf4-48fa-994d-9a921e654c5e · outbound

This paper cites Not all minori- ties are equal: Empty-class-aware distillation for heterogeneous federated learning,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Not all minori- ties are equal: Empty-class-aware distillation for heterogeneous federated learning,

Reference 8

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Observation 8053258c-a50f-4ea4-93ae-205a28f74d56 · outbound

This paper cites Harmonizing generalization and personalization in federated prompt learning,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Harmonizing generalization and personalization in federated prompt learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:37:00.304369Z

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Observation 8ac4152f-cba5-4a69-acb0-3bdd9335fb01 · outbound

This paper cites Efficient model person- alization in federated learning via client-specific prompt generation,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Efficient model person- alization in federated learning via client-specific prompt generation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:37:00.161875Z

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Observation aa91972e-5347-475a-ad8c-86f080e78ab7 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 11

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Observation 007e9351-5617-4550-8d81-4eaa05f31778 · outbound

This paper cites FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning

Reference 12

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Observation 92d11d26-ad3f-4093-b8db-3d6967ac80d8 · outbound

This paper cites Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 13

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Observation 13f54f78-42ca-4c39-94dd-b0119fd6ea8f · outbound

This paper cites Fedbn: Federated learning on non-iid features via local batch normalization,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Fedbn: Federated learning on non-iid features via local batch normalization,

Reference 14

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Observation 6e702f05-f2be-46b6-9be4-a424d04ec4d8 · outbound

This paper cites Model-contrastive federated learning,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Model-contrastive federated learning,

Reference 15

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Observation 839550eb-99dd-458a-ab99-f326f7e4be88 · outbound

This paper cites Pfedprompt: Learning personalized prompt for vision-language models in federated learning,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Pfedprompt: Learning personalized prompt for vision-language models in federated learning,

Reference 16

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Observation 5bf8675a-b974-47d3-9de3-4399f4e4940b · outbound

This paper cites Learning to Prompt Your Domain for Vision-Language Models.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Learning to Prompt Your Domain for Vision-Language Models

Reference 17

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Observation 562ce677-b4b8-45b5-ac6f-185d66b0e09e · outbound

This paper cites Diprompt: Disentangled prompt tuning for multiple latent domain generalization in federated learning,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Diprompt: Disentangled prompt tuning for multiple latent domain generalization in federated learning,

Reference 18

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Observation 5d7d7352-7c31-469a-8d85-77065e55ff33 · outbound

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Learning to prompt for vision- language models,

Reference 19

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Observation 90298bce-dc96-4faf-b24b-c9a40e773c0c · outbound

This paper cites Visual prompt tuning,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Visual prompt tuning,

Reference 20

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Observation c9ee57dd-0d0b-4470-9f6a-292f59833389 · outbound

This paper cites Dual modality prompt tuning for vision-language pre-trained model,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Dual modality prompt tuning for vision-language pre-trained model,

Reference 21

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Observation 6a24e9ce-475d-4e9c-becf-1d8e621d6501 · outbound

This paper cites Personalized Federated Learning with Feature Alignment and Classifier Collaboration.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 22

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Observation 39d1dc97-9a64-49a3-95c1-f5f77f14abe4 · outbound

This paper cites Federated Learning with Personalization Layers.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Federated Learning with Personalization Layers

Reference 23

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Observation 8ccb739d-4c07-4cce-ac59-f5d09057937e · outbound

This paper cites Exploiting shared representations for personalized federated learning,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Exploiting shared representations for personalized federated learning,

Reference 24

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Observation 863ab62c-8759-46b7-bc27-98e22fdb2b0c · outbound

This paper cites FedBABU: Towards Enhanced Representation for Federated Image Classification.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion FedBABU: Towards Enhanced Representation for Federated Image Classification

Reference 25

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Observation d67d5f15-1213-4630-908f-8bbbef3ab42a · outbound

This paper cites Fedtp: Federated learning by transformer personalization,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Fedtp: Federated learning by transformer personalization,

Reference 26

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Observation e045e596-7023-4571-a94c-c52b881b348d · outbound

This paper cites Partialfed: Cross-domain per- sonalized federated learning via partial initialization,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Partialfed: Cross-domain per- sonalized federated learning via partial initialization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:58.584941Z

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Observation 44644214-b36d-4f22-ab3d-039fb54fce92 · outbound

This paper cites Text-driven Prompt Generation for Vision-Language Models in Federated Learning.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Text-driven Prompt Generation for Vision-Language Models in Federated Learning

Reference 28

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Observation 39a0cd62-307c-4484-853d-3e17dd9d6563 · outbound

This paper cites Position paper: Assessing robustness, privacy, and fairness in federated learning integrated with foundation models,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Position paper: Assessing robustness, privacy, and fairness in federated learning integrated with foundation models,

Reference 29

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Observation 19adbfa3-aa8c-4c65-b062-83461af2b2b1 · outbound

This paper cites FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

Reference 30

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Observation 33802378-0efe-46c0-88ef-0cae27c43303 · outbound

This paper cites Continual Adaptation of Vision Transformers for Federated Learning.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Continual Adaptation of Vision Transformers for Federated Learning

Reference 31

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Federated adaptive prompt tuning for multi-domain collaborative learning,

Reference 32

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Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Squeeze-and-excitation networks,

Reference 33

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Observation a71afd33-8db1-4a99-90c4-5bdc5cbe0dec · outbound

This paper cites Eca-net: Effi- cient channel attention for deep convolutional neural networks,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Eca-net: Effi- cient channel attention for deep convolutional neural networks,

Reference 34

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Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Stand-alone self-attention in vision models,

Reference 35

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This paper cites Exploring self-attention for image recognition,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Exploring self-attention for image recognition,

Reference 36

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,

Reference 37

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This paper cites Automated flower classification over a large number of classes,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Automated flower classification over a large number of classes,

Reference 38

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Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Cats and dogs,

Reference 39

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Eurosat: A novel dataset and deep learning benchmark for land use and land cover classifica- tion,

Reference 40

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This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 41

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Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Describ- ing textures in the wild,

Reference 42

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This paper cites The caltech-ucsd birds-200-2011 dataset,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion The caltech-ucsd birds-200-2011 dataset,

Reference 43

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This paper cites Learning multiple layers of features from tiny images,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Learning multiple layers of features from tiny images,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:56.383552Z

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

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Moment matching for multi-source domain adaptation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:56.194860Z

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This paper cites Geodesic flow kernel for unsupervised domain adaptation,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Geodesic flow kernel for unsupervised domain adaptation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:55.914990Z

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This paper cites Non-local neural networks,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Non-local neural networks,

Reference 47

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This paper cites No fear of heterogeneity: Classifier calibration for federated learning with non-iid data,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion No fear of heterogeneity: Classifier calibration for federated learning with non-iid data,

Reference 48

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This paper cites Towards under- standing and mitigating dimensional collapse in heterogeneous federated learning,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Towards under- standing and mitigating dimensional collapse in heterogeneous federated learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:55.232602Z

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This paper cites Ditto: Fair and robust federated learning through personalization,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Ditto: Fair and robust federated learning through personalization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:55.034430Z

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Observation 0f7eb68f-4299-4d00-8464-127d7114b0e1 · outbound

This paper cites Personalized federated learning with moreau envelopes,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Personalized federated learning with moreau envelopes,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:54.872878Z

Source-reported events for the cited work

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Observation 61523c34-63c6-4e03-9648-e620c47b1c63 · outbound

This paper cites Fedcp: Separating feature information for personalized federated learn- ing via conditional policy,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Fedcp: Separating feature information for personalized federated learn- ing via conditional policy,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:54.768932Z

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Observation 1ec6e692-92c1-495e-bfbc-ef692ad0170e · outbound

This paper cites Learning federated visual prompt in null space for mri reconstruction,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Learning federated visual prompt in null space for mri reconstruction,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:54.568141Z

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Observation 9de74e28-5a41-4067-a7d5-1677816d06ea · outbound

This paper cites Residual attention network for image classification,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Residual attention network for image classification,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:54.291905Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13b454a8-3f59-4256-8fe4-55afd52b81eb · outbound

This paper cites Cbam: Convolutional block attention module,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Cbam: Convolutional block attention module,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:54.029113Z

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Observation f1aed8ec-1ddf-4c11-8f0f-bae4307536ff · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:52.750899Z

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Observation 4391e099-3d84-4af0-8130-f0376f1b4609 · outbound

This paper cites Mixture of experts made personalized: Federated prompt learning for vision-language models,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Mixture of experts made personalized: Federated prompt learning for vision-language models,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:53.839861Z

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Observation 2b607bb0-728a-48fa-9325-9f5ee490cdda · outbound

This paper cites Dynamic heterogeneous federated learning with multi-level prototypes,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Dynamic heterogeneous federated learning with multi-level prototypes,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:53.716319Z

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Observation b38a6d0f-2f51-4b44-8cf0-de1b295ee37e · outbound

This paper cites Addressing skewed heterogeneity via federated prototype rectification with personalization,.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Addressing skewed heterogeneity via federated prototype rectification with personalization,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:36:53.530766Z

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Pith citing papers

Observation a5a17d79-1da3-4f17-8961-d5a5f015a67d · inbound

Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning cites this paper.

Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:28.992487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.