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Paper Citation Record · LEDGER

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms

As of 8 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 1 inbound Pith citation observation for arXiv:2505.21792.

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

pith.paper-citation-record.v1
2505.21792 v1

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:21.234497Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:10:26.634933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:45:40.609135Z

Reference resolution

100 of 126 outbound references displayed

  • verified exact4
  • verified fuzzy29
  • unresolved67
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 236b6469-9af3-4f77-9c5b-1d37d4072da8 · outbound

This paper cites Cross-modal retrieval: a systematic review of methods and future directions,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Cross-modal retrieval: a systematic review of methods and future directions,

Reference 1

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Observation 255a0d86-93e5-45b2-b63d-ba4cb378b002 · outbound

This paper cites Deep learning approaches on image captioning: A review,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Deep learning approaches on image captioning: A review,

Reference 2

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Observation 81c7ba04-75ea-4509-84b1-c880aa634574 · outbound

This paper cites A comprehensive survey of multi-view video summarization,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms A comprehensive survey of multi-view video summarization,

Reference 3

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Observation 92a4654a-cd14-4988-8279-cb3b09b43a73 · outbound

This paper cites Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data

Reference 4

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8342d3d6-f34c-4f48-a63e-4914c71f745e · outbound

This paper cites Resvit: residual vision transformers for multimodal medical image synthesis,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Resvit: residual vision transformers for multimodal medical image synthesis,

Reference 5

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Observation 3dd096db-016c-467e-be6b-6038e139a64e · outbound

This paper cites Multimodal Federated Learning via Contrastive Representation Ensemble.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Multimodal Federated Learning via Contrastive Representation Ensemble

Reference 6

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Observation f6b26f92-1fa4-476c-9aac-d4cd57882e0a · outbound

This paper cites Multimodal Federated Learning in Healthcare: a Review.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Multimodal Federated Learning in Healthcare: a Review

Reference 7

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Observation e07467b5-a227-47c9-9556-2b22834e5a25 · outbound

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

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Advances and open problems in federated learning,

Reference 8

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Observation 46a048b7-1405-436e-ae7f-a53cdc4df75d · outbound

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

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Communication-efficient learning of deep networks from decentralized data,

Reference 9

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Observation 5c3e4022-e681-492d-af23-8c31991a1594 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Federated optimization in heterogeneous networks,

Reference 10

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Observation 898951fd-9a62-40c7-b259-aee888e6b157 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Scaffold: Stochastic controlled averaging for federated learning,

Reference 11

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Observation 8399f0c1-dec0-49a4-b8ff-91d4c46c9998 · outbound

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

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Reference 12

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Observation 0fcf0cf3-3ba1-4e56-8071-f57a04e548c8 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimization,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Tackling the objective inconsistency problem in heterogeneous federated optimization,

Reference 13

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Observation a5a0d18b-e6e9-4994-9aa2-15ee69e38bf1 · outbound

This paper cites Multimodal melanoma detection with federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Multimodal melanoma detection with federated learning,

Reference 14

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Observation 18b7bed1-ce69-456a-913c-e5c6f971dfae · outbound

This paper cites A unified framework for multi-modal federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms A unified framework for multi-modal federated learning,

Reference 15

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Observation 93445fc3-59d8-4071-a571-6bc3c3de9ddc · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 16

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Observation 2c181b3f-cd2f-463e-b0d2-a44f13bc3d14 · outbound

This paper cites Towards a multimodal human activity dataset for healthcare,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Towards a multimodal human activity dataset for healthcare,

Reference 17

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Observation cda6a2d6-5fa2-488c-9ee7-75d8692cc76c · outbound

This paper cites Medical report generation based on multimodal federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Medical report generation based on multimodal federated learning,

Reference 18

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Observation 4ba93f01-de71-4432-a9c8-c6f7c9024199 · outbound

This paper cites Attention is all you need,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Attention is all you need,

Reference 19

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Observation f4cf54bb-5806-412a-8797-2882bfd77649 · outbound

This paper cites Fl-fd: Federated learning-based fall detection with multi- modal data fusion,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fl-fd: Federated learning-based fall detection with multi- modal data fusion,

Reference 20

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Observation 052561e1-e199-46a9-9273-690dae045ddd · outbound

This paper cites Fedmultimodal: A benchmark for multimodal federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedmultimodal: A benchmark for multimodal federated learning,

Reference 21

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Observation 509cb1dd-3472-4a32-abda-a2f873cc1773 · outbound

This paper cites Adaptive Federated Optimization.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Adaptive Federated Optimization

Reference 22

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Observation a03d0800-6f47-4bf9-91a9-fe505fba7df9 · outbound

This paper cites Communication- efficient multimodal federated learning: Joint modality and client selection,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Communication- efficient multimodal federated learning: Joint modality and client selection,

Reference 23

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Observation dd423b47-6a36-4550-aa1a-ae3db4de5ca1 · outbound

This paper cites Fedmsplit: Correlation-adaptive federated multi-task learning across multimodal split networks,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedmsplit: Correlation-adaptive federated multi-task learning across multimodal split networks,

Reference 24

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Observation fb1b48da-a131-4b3f-a2f2-1fec6466361a · outbound

This paper cites On disentanglement of asymmetrical knowledge transfer for modality-task agnostic federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms On disentanglement of asymmetrical knowledge transfer for modality-task agnostic federated learning,

Reference 25

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Observation 8ba75b71-a7cb-4a9b-9881-64b6a20f51de · outbound

This paper cites Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving,

Reference 26

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Observation 5c231c7c-08fe-4caa-9c25-28a760e2bc57 · outbound

This paper cites Har- mony: Heterogeneous multi-modal federated learning through disentangled model training,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Har- mony: Heterogeneous multi-modal federated learning through disentangled model training,

Reference 27

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Observation adb5ca23-7243-4203-b614-2e3b55995b9e · outbound

This paper cites Cross-modal federated human activity recognition,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Cross-modal federated human activity recognition,

Reference 28

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Observation 2189100d-0b1a-48ee-aa5a-edc9bb9f01fe · outbound

This paper cites Fedfusion: Manifold-driven federated learning for multi- satellite and multi-modality fusion,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedfusion: Manifold-driven federated learning for multi- satellite and multi-modality fusion,

Reference 29

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Observation 322d82fb-07e6-444d-8a0e-99c8b800f88d · outbound

This paper cites Cross-modal federated human activity recognition via modality-agnostic and modality-specific representation learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Cross-modal federated human activity recognition via modality-agnostic and modality-specific representation learning,

Reference 30

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Observation b900c521-2010-4659-86cb-0551768bc3c7 · outbound

This paper cites Federated modality-specific encoders and multimodal anchors for personalized brain tumor segmentation,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Federated modality-specific encoders and multimodal anchors for personalized brain tumor segmentation,

Reference 31

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Observation e1f96af3-741c-4e57-9a78-483762ce4ad1 · outbound

This paper cites Federated learning for vision-and-language grounding problems,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Federated learning for vision-and-language grounding problems,

Reference 32

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Observation cb704c39-c5c1-4098-bb75-8a7039047b94 · outbound

This paper cites Towards optimal multi-modal federated learning on non-iid data with hierarchical gradient blending,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Towards optimal multi-modal federated learning on non-iid data with hierarchical gradient blending,

Reference 33

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Observation 04d75fe9-c434-4a6d-b944-b867c2ac2012 · outbound

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

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

Reference 34

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Observation 4a969d33-c6c5-4c57-9f47-3f1d08fe4859 · outbound

This paper cites Fedcmr: Federated cross-modal retrieval,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedcmr: Federated cross-modal retrieval,

Reference 35

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Observation 542ab16c-d615-44cb-9e81-59725dd918af · outbound

This paper cites Multimodal federated learning on iot data,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Multimodal federated learning on iot data,

Reference 36

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Observation d6aa9636-5868-4e82-882c-5a753f5e5b03 · outbound

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

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Pfedprompt: Learning personalized prompt for vision-language models in federated learning,

Reference 37

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source=pdf_text observed=2026-08-07T13:28:17.535183Z digest=sha256:f429bffd7c6615141dfb0cc0b4ea0a11075ae82d637a50c70d3ed5e9e6af5ec7

Observation e497b8ff-0273-4600-aaad-5c63ba4f1f6e · outbound

This paper cites Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast

Reference 38

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source=pdf_text observed=2026-08-07T13:28:17.590999Z digest=sha256:59bafe3e517389c7268b2f892536ee59bc56a4af9e64d0465a59520c926bff01

Observation b2f3cac9-5a65-4dbf-81e7-d3f338032285 · outbound

This paper cites Fedusl: A federated annotation method for driving fatigue detection based on multimodal sensing data,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedusl: A federated annotation method for driving fatigue detection based on multimodal sensing data,

Reference 39

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source=pdf_text observed=2026-08-07T13:28:17.642732Z digest=sha256:d4b60c791f2b07865779af4d763670427982494a6fe9df438e097ae456f41359

Observation a9911fc7-7ed9-4b01-81b6-23befd7d66f0 · outbound

This paper cites Fedsea: Federated learning via selective feature alignment for non-iid multimodal data,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedsea: Federated learning via selective feature alignment for non-iid multimodal data,

Reference 40

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source=pdf_text observed=2026-08-07T13:28:17.685583Z digest=sha256:52ca3b555f37b1be7216a8788124a4635f5c47d18418d2ac5566c15d6036e4ca

Observation e82788e5-3a07-45cc-aa47-2679025a70ef · outbound

This paper cites Fedmm: Federated multi-modal learning with modality hetero- geneity in computational pathology,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedmm: Federated multi-modal learning with modality hetero- geneity in computational pathology,

Reference 41

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source=pdf_text observed=2026-08-07T13:28:17.736032Z digest=sha256:860598ca0c8d4d040c1bcf2808f35cf7e1fc43a6ca4c1b4723688389c6656ac8

Observation 5f2c06c5-43df-401b-a09a-9d3f4eb398ea · outbound

This paper cites Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning

Reference 42

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local_arxiv, observed 2026-08-07T13:28:23.620112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:17.808563Z digest=sha256:9fdacbbbe57282f98b3bf072281e73e33a2c590e9b74de585fd73c9cbc7f9594

Observation c370349b-bb0a-4cb1-80e5-5cb5d0790b94 · outbound

This paper cites A multi-modal vertical federated learning framework based on homomorphic encryption,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms A multi-modal vertical federated learning framework based on homomorphic encryption,

Reference 43

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source=pdf_text observed=2026-08-07T13:28:17.844681Z digest=sha256:78a92afe6d042aeb8f0938c0d272583be2409121fd02d860abd3612a6268afdc

Observation d5057c49-c433-40d4-86e1-935ed5bdcb8f · outbound

This paper cites Toward multimodal vertical federated learning: A traf- fic analysis case study,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Toward multimodal vertical federated learning: A traf- fic analysis case study,

Reference 44

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source=pdf_text observed=2026-08-07T13:28:17.932384Z digest=sha256:2020d2709ce3b007b21e7c94a09298f8d175e8aede7ffba26b3d583c806b7798

Observation b4d4c48e-df73-4dd0-b7f5-b6996c545e14 · outbound

This paper cites Cross-modal vertical federated learning for mri reconstruction,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Cross-modal vertical federated learning for mri reconstruction,

Reference 45

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source=pdf_text observed=2026-08-07T13:28:17.998102Z digest=sha256:9aca1897f33a9194743e80d9616235dbda88d87697bfaedda90bae039a84f590

Observation 5a78817b-abf9-453f-8f5d-514bf947a03b · outbound

This paper cites Vertical Federated Learning: Concepts, Advances, and Challenges,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Vertical Federated Learning: Concepts, Advances, and Challenges,

Reference 46

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source=pdf_text observed=2026-08-07T13:28:18.036876Z digest=sha256:d8c241e79862a83c544e2b7fb0b0a662c20fbf2092b85d4d7b7b83f18aeeb76c

Observation 7b19323f-dbed-4a9c-a14b-f86161ca2cce · outbound

This paper cites Compressed-vfl: Communication-efficient learning with vertically partitioned data,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Compressed-vfl: Communication-efficient learning with vertically partitioned data,

Reference 47

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source=pdf_text observed=2026-08-07T13:28:18.113656Z digest=sha256:b9a711cbe842df2ce60d2a070492c89411ac670fb3f32688bbcc291c0a668596

Observation 28284a16-e3aa-4361-bed8-008b8268ce6a · outbound

This paper cites Flexible vertical federated learning with heterogeneous parties,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Flexible vertical federated learning with heterogeneous parties,

Reference 48

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source=pdf_text observed=2026-08-07T13:28:18.173596Z digest=sha256:dffaec0e8ca9d42917270ca5ad10a163efc292a63a70df9c16b692c06dea5b8c

Observation 58da91e8-c222-43fe-aae5-4714d1e01e3a · outbound

This paper cites Less-vfl: Communication-efficient feature selection for vertical federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Less-vfl: Communication-efficient feature selection for vertical federated learning,

Reference 49

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source=pdf_text observed=2026-08-07T13:28:18.258057Z digest=sha256:882ea30ee290507cfc7b4c31c807d68383fb120cad3122286df67d11aa6d3ec3

Observation 6074f831-193e-4d49-bc4c-2d5f892174f3 · outbound

This paper cites Fedbcd: A communication- efficient collaborative learning framework for distributed features,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedbcd: A communication- efficient collaborative learning framework for distributed features,

Reference 50

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source=pdf_text observed=2026-08-07T13:28:18.313298Z digest=sha256:323712f2014e15a06675e926920bd5a4f2f752cdc2ab04f52482c10a52a51e55

Observation 6f277693-838f-4944-b98c-577e9ddf8667 · outbound

This paper cites Exploiting Shared Representations for Personalized Federated Learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Exploiting Shared Representations for Personalized Federated Learning,

Reference 51

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source=pdf_text observed=2026-08-07T13:28:18.356475Z digest=sha256:3e28ad77e687eed6a2e067f51680386812c3ebfc3fc4b2a94081e39f7d71d379

Observation 266116be-28df-4288-879b-33d3458e7273 · outbound

This paper cites Overlearning Reveals Sensitive Attributes.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Overlearning Reveals Sensitive Attributes

Reference 52

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source=pdf_text observed=2026-08-07T13:28:18.416985Z digest=sha256:d59c4824991d5ddd47919ca31d50b8c1e92c7e74038d7722ab6c8cf857130227

Observation 45c83b6c-5ba9-4f0b-8edf-1d2b752305d0 · outbound

This paper cites Exploiting unintended feature leakage in collaborative learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Exploiting unintended feature leakage in collaborative learning,

Reference 53

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source=pdf_text observed=2026-08-07T13:28:18.486369Z digest=sha256:73f64f840037610834d7aac79325a1a8059e3927251d3c8707ac874b3207473a

Observation 051f9cf0-c535-4f6c-b545-19014773a974 · outbound

This paper cites {ML-Doctor}: Holistic risk assessment of inference attacks against machine learning models,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms {ML-Doctor}: Holistic risk assessment of inference attacks against machine learning models,

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.551161Z digest=sha256:fce8601436eac6a31dec6a5b98ff1bfc88911f968c4d0436bb53ccc3b3d40331

Observation a20f254b-db4a-475a-b282-520ac0de7a79 · outbound

This paper cites Feature inference attack on model predictions in vertical federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Feature inference attack on model predictions in vertical federated learning,

Reference 55

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source=pdf_text observed=2026-08-07T13:28:18.622363Z digest=sha256:a56d9204e3a133dd5b2b02fd9152859062aad439f4506a9589895ff328efe784

Observation 10766b08-b105-4311-beb2-2d638c4cda10 · outbound

This paper cites Practical Privacy Attacks on Vertical Federated Learning.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Practical Privacy Attacks on Vertical Federated Learning

Reference 56

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verified exact
local_arxiv, observed 2026-08-07T13:28:23.475529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:18.709288Z digest=sha256:b3348db368f3b67e0eb590d597954e7a55dc57311dbcb69d1c12c5134312cdc0

Observation 839d2c8c-6879-4cbf-8520-37334f4bdbcf · outbound

This paper cites Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond

Reference 57

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local_arxiv, observed 2026-08-07T13:28:23.339960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:18.772991Z digest=sha256:5e8e6965dd3bf82fe10d92fbe4a04fa117df14c368d0c7f2387ae8486fb9a097

Observation 33f53327-0113-4e48-ae59-2759942f0e36 · outbound

This paper cites Model inversion attacks against collaborative inference,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Model inversion attacks against collaborative inference,

Reference 58

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source=pdf_text observed=2026-08-07T13:28:18.833109Z digest=sha256:f07291785fdfe30301bf6e3196c238571a9c030cfba073cfec8e3b6ed49902ed

Observation 5d1b397c-5889-459a-87a7-45f6cc4e1d12 · outbound

This paper cites Comprehensive analysis of privacy leakage in vertical federated learning during prediction,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Comprehensive analysis of privacy leakage in vertical federated learning during prediction,

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-07T13:28:31.010284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:18.887161Z digest=sha256:2819c3ec1b856b248dfd65bd391c6d0fde57e383844fd8d0c92de9125ce816c3

Observation 9a7035ea-cf8e-4d7e-8d67-76104b7fb166 · outbound

This paper cites Cafe: Catastrophic data leakage in vertical federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Cafe: Catastrophic data leakage in vertical federated learning,

Reference 60

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raw_fallback, observed 2026-08-07T13:28:30.790660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:18.923568Z digest=sha256:185a341e1028eeb861452ca752ef72a9841ad8636236568bfebc6cee467044e0

Observation 273a5e21-906a-4e7b-9988-1580b61edfb7 · outbound

This paper cites Defending batch- level label inference and replacement attacks in vertical federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Defending batch- level label inference and replacement attacks in vertical federated learning,

Reference 61

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raw_fallback, observed 2026-08-07T13:28:30.667347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:18.965578Z digest=sha256:988b009951ac5b4df1fa6324d95db585f9f86602ee318a5a2517aa77467a7008

Observation 069e9d8f-f7b5-4ed9-8aea-1f59fc26ed3a · outbound

This paper cites Exploit: Extracting private labels in split learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Exploit: Extracting private labels in split learning,

Reference 62

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raw_fallback, observed 2026-08-07T13:28:30.508893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.008105Z digest=sha256:b38621d37b90fcb733cfe4e56ea44954a826e3b34a0c273b52bf1963e0ffa60b

Observation 7ba1bd0f-45fa-4472-b2ee-1b5d1bebc5f8 · outbound

This paper cites Residue-based label protection mechanisms in vertical logistic regression,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Residue-based label protection mechanisms in vertical logistic regression,

Reference 63

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raw_fallback, observed 2026-08-07T13:28:30.358229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.055599Z digest=sha256:be17d56f535007495093fca46b81f425b8393cdd4f8c3f2cbe5a4a060cef642b

Observation b7996f20-3dd1-4b3f-a0f2-e3cf8ca44c09 · outbound

This paper cites See through gradi- ents: Image batch recovery via gradinversion,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms See through gradi- ents: Image batch recovery via gradinversion,

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T13:28:30.169685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.096451Z digest=sha256:d758d1b9fb091ab90dc6931edb9737e297723b0f05c48a1934f4675f8bf28a45

Observation 1f6dcd22-666b-4654-96ce-c946196faa95 · outbound

This paper cites Cgir: Conditional generative instance reconstruction attacks against federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Cgir: Conditional generative instance reconstruction attacks against federated learning,

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-07T13:28:30.033558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.139608Z digest=sha256:f668de622529836edc15a9860c49c6ac7f157ca227d8aed9f3e3a57fcfdb8d27

Observation b24f2d0c-1ef2-4b3a-bac3-fb7828bd7672 · outbound

This paper cites Feature reconstruction attacks and countermeasures of dnn training in vertical federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Feature reconstruction attacks and countermeasures of dnn training in vertical federated learning,

Reference 66

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verified fuzzy
raw_fallback, observed 2026-08-07T13:28:29.916964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.199942Z digest=sha256:e286d8ffb9bb018eaa56a2ae1487fa2b82c75c4104cf4b2d7c1dbd7a85a0f642

Observation 8e90f2bd-c1ad-491e-a2a4-3b5bf7bec22c · outbound

This paper cites Label inference attacks against vertical federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Label inference attacks against vertical federated learning,

Reference 67

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raw_fallback, observed 2026-08-07T13:28:29.808079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.279222Z digest=sha256:44975db5258fdfbf8f3273505c0f5bb81d18b442f86cb969d27f9a879cd8c82f

Observation 7ef51a40-99f4-4a62-bb51-e2b2d85157fc · outbound

This paper cites Label Leakage and Protection in Two-party Split Learning.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Label Leakage and Protection in Two-party Split Learning

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.376977Z digest=sha256:e69a1c5a0daf307dac30e17f7106e9bf4c2d13e6698e7fee3fff8899872e39ae

Observation c5ac3495-83f8-43c0-9c23-9f1034be5d3b · outbound

This paper cites Label Leakage and Protection from Forward Embedding in Vertical Federated Learning.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Label Leakage and Protection from Forward Embedding in Vertical Federated Learning

Reference 69

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.447169Z digest=sha256:1ed87c6a20e9e0b485d693088ad7c7801490ec42144292847a5079c37a99558f

Observation 5bbfb40c-049d-4578-98dd-5a35080d4bd7 · outbound

This paper cites Your labels are selling you out: Relation leaks in vertical federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Your labels are selling you out: Relation leaks in vertical federated learning,

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-07T13:28:29.703605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.483785Z digest=sha256:1248616d3f28c3a98f59a8916eb8452532740c2d774472f4c880be74f6634603

Observation bc446b8f-7e5a-43b4-8b78-b620e91ff015 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Federated learning with differential privacy: Algorithms and performance analysis,

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.512591Z digest=sha256:c4da20e1ffe33ce8ebf36c93551376aba351efea7ed7de0382d51c516bd3e2b5

Observation 23102207-f2f0-4172-b9bf-65e4a1499a2e · outbound

This paper cites Ldp-fed: Federated learning with local differential privacy,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Ldp-fed: Federated learning with local differential privacy,

Reference 72

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source=pdf_text observed=2026-08-07T13:28:19.531085Z digest=sha256:e1fccfe06738023c43e92d5a2789a251dbc7ab029910073004ac14bb58a273f4

Observation cce4b7ea-91db-454e-92f7-cfc1d5f1b25d · outbound

This paper cites Safelearn: Secure aggregation for private federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Safelearn: Secure aggregation for private federated learning,

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-07T13:28:29.552995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.559264Z digest=sha256:00b4b20c2ca76142cda0d90b1a5985eb7b04d575c5d19c0fb875c8d9a6b797db

Observation 3610b746-e61f-4631-acfb-6d39a2716080 · outbound

This paper cites Lightsecagg: a lightweight and versatile design for secure aggregation in federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Lightsecagg: a lightweight and versatile design for secure aggregation in federated learning,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-07T13:28:29.445331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.595955Z digest=sha256:bd4652283f6d8663ff65213dd5b99261ab617fb39f7b4db16c09b27789c31f67

Observation fe70c98e-4aee-4466-bd24-2c514a388aa4 · outbound

This paper cites {BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms {BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learning,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:29.318385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.626076Z digest=sha256:150cf1880013dde48d0188b8bd53197ba54ebf007463af5201b48869974ee870

Observation 98ae874f-30f0-47c4-bb0a-1d62b03180e2 · outbound

This paper cites Homomorphic encryption-based privacy-preserving federated learning in iot-enabled healthcare system,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Homomorphic encryption-based privacy-preserving federated learning in iot-enabled healthcare system,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:29.199832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.651180Z digest=sha256:68a4fd9ba220f3ca28af3a0c357258f90de65fc312739856ab0f0152f6ec9984

Observation 7f2f32c3-7902-4132-8819-694cb71189d5 · outbound

This paper cites Hybrid federated learning for multimodal iot systems,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Hybrid federated learning for multimodal iot systems,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:29.047061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:19.684429Z digest=sha256:23a186f0a48ad387bd5df4aa127c24d480725fa3a877972c61b0f5a74c052eda

Observation fe3afd1b-7e77-4a1d-b5bf-8387feb6b85f · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.730330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.730330Z digest=sha256:56989ede735567840f516c1895eadc8c7e70f8f4d8af5d443124fed1c0da4fb9

Observation 463ffae0-8d4a-4741-8688-57a4af3a6b49 · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms FedMD: Heterogenous Federated Learning via Model Distillation

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.799625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.799625Z digest=sha256:a12f6bbcbd1d2e959871ad0b25511d7a470f6fb17f49c5a972e4956c161eb08e

Observation 750a6a78-6ecb-4874-9f4a-fc33311c5eda · outbound

This paper cites Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.876667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.876667Z digest=sha256:afd699e07bcf2b8b11714283c5ca3ea571879b847cac7b68c0dc7a36bb45765d

Observation 8b2bf9a6-8032-4bc5-9d5a-1d226eb735b6 · outbound

This paper cites Split learning for health: Distributed deep learning without sharing raw patient data.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Split learning for health: Distributed deep learning without sharing raw patient data

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.979847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.979847Z digest=sha256:516df205418859ce7bd9e504722dae9273565c39f147a298030158f11d726853

Observation 946e9b94-2b9f-4f8e-b167-0c30f705a9b4 · outbound

This paper cites Joint horizontal and vertical federated learning for multimodal iot,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Joint horizontal and vertical federated learning for multimodal iot,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.926727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.100252Z digest=sha256:80cf71dec67532e888a911370f6fecf56ccf33a8c9e6f353df8c86822fbbb961

Observation 8d33d32f-667a-4ca9-9e4d-a982b4b6755b · outbound

This paper cites Sparse Communication for Distributed Gradient Descent.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Sparse Communication for Distributed Gradient Descent

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:20.192336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:20.192336Z digest=sha256:55131b97b9e720a060ead000c588d1eed6213723e7d956566ae3fe809fbdeca8

Observation 86e1ca14-5c74-4de5-8403-df7970bd9641 · outbound

This paper cites Qsgd: Communication-efficient sgd via gradient quantization and encoding,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Qsgd: Communication-efficient sgd via gradient quantization and encoding,

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:20.271648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:20.271648Z digest=sha256:1dae951b7adf518acbce235209a1a024de1c73e0d2dad266c2e861f5956ba55c

Observation edb1df8f-849b-4743-9227-b8ffc6731a94 · outbound

This paper cites Fedpaq: A communication-efficient federated learning method with periodic averaging and quantiza- tion,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedpaq: A communication-efficient federated learning method with periodic averaging and quantiza- tion,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.794197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.313891Z digest=sha256:9a9b5f20e31dc27c27bd22b68783ffcbb9e15022d9428f9fd4c2248367678ab7

Observation 98e77932-9e1b-4efa-b2c9-f9597e70f986 · outbound

This paper cites Asynchronous Federated Optimization.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Asynchronous Federated Optimization

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:20.379636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:20.379636Z digest=sha256:9c9ecd9c45f8646fd551cde4906f5cb351097795b00132abeafe733d16c3f11b

Observation 524a6a05-eb4b-4a63-bd97-eeb7be2a47d1 · outbound

This paper cites Client-edge-cloud hierarchical federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Client-edge-cloud hierarchical federated learning,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.625722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.437937Z digest=sha256:fb3ffe6a453b0d4f7b53e6e1f56fca03956c67dba001983f7f78c975c28b82c7

Observation 82257a6e-9d7a-4e5c-9f15-e815ec4a7d68 · outbound

This paper cites Towards personalized federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Towards personalized federated learning,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.487170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.524407Z digest=sha256:fec299c4b192d1f4104a6408a978a6319fe391c5ce82ee564535af9cc99f1c18

Observation 9f5180bf-4896-46f2-a965-d2906d7c2466 · outbound

This paper cites Fedmekt: Distillation-based embedding knowledge transfer for multimodal federated learning,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedmekt: Distillation-based embedding knowledge transfer for multimodal federated learning,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.358856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.604064Z digest=sha256:3cf98346d280348c8736990d612541b3ae8d255cde7d9aa373eb1fc696c87ec8

Observation 24fc81d4-6d23-4cd6-8f2a-5111e038f0d2 · outbound

This paper cites Fedcmd: A federated cross-modal knowledge distillation for drivers’ emotion recognition,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Fedcmd: A federated cross-modal knowledge distillation for drivers’ emotion recognition,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.237138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.663653Z digest=sha256:9c1ae2442ee2401f9d6ea923e8f5b336bab7dfa5c853272bd6a6e83e1aa98d54

Observation b264e757-2f87-4f54-8c6e-fdaf3be87d97 · outbound

This paper cites Deep learning model with multi-feature fusion and label association for suicide detection,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Deep learning model with multi-feature fusion and label association for suicide detection,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.117636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.792061Z digest=sha256:ba4c59f09fa79df91b4899d2823126868cb459640ca156d285139f33ddfd6e1d

Observation 4874bbb7-3803-40b5-ba33-dd699a27214a · outbound

This paper cites Embodied intelligence via learning and evolution,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Embodied intelligence via learning and evolution,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.002621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.866119Z digest=sha256:e0abe0e6fd22f770ec8fda6bd247cf7d963e8d5de0ed69f370870102d03bcd24

Observation 013dc618-661f-48b8-ac12-dc057cab31f3 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Learning transferable visual models from natural language supervi- sion,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.826482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.915371Z digest=sha256:215914f87b18782bc5514ebd62dd7cce88db64717cf1b000a5b6f7fbe6d1efcc

Observation 82d97ece-cd74-4b43-906d-bb93d9667551 · outbound

This paper cites Knowledge-driven egocentric multimodal activity recognition,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Knowledge-driven egocentric multimodal activity recognition,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.697539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:20.958682Z digest=sha256:e7d60e768c47e689725f9ba41f6a385e126f7f16435cfae97015629309e34725

Observation a9348dac-53fa-4e66-b37e-7291224ef8ad · outbound

This paper cites The Kinetics Human Action Video Dataset.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms The Kinetics Human Action Video Dataset

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:20.997061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:20.997061Z digest=sha256:4abdd73ac032926c4c458d867ab299803b1fcb513ad3620ff23e5429db8c7a46

Observation fdf2d629-d099-44e0-b6a7-156322295603 · outbound

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

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:21.062757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:21.062757Z digest=sha256:f9f761b700cb407d5a538d051b7cf2936f715002128b286e7cc7ceef7bed200c

Observation 6a90e384-34d6-4d55-bc45-cbfa9a4ca1de · outbound

This paper cites Human fall detection on embedded platform using depth maps and wireless accelerometer,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Human fall detection on embedded platform using depth maps and wireless accelerometer,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.565625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:21.125852Z digest=sha256:106c4a94b5ce64c0995316e4e44485dde8feb1e215b2596233a3b27a86b78917

Observation a0e7d3c3-d27e-40f3-90e6-24524f726c40 · outbound

This paper cites Emotion recognition from multiple modalities: Fundamentals and methodologies,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Emotion recognition from multiple modalities: Fundamentals and methodologies,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.494540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:21.159265Z digest=sha256:273c664d7e0e2680629916de0be756664a9e64e5371cf642f6517fa1da840fc3

Observation 0c2c3f15-1eaa-4281-808a-8ae1d8b5d571 · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Iemocap: Interactive emotional dyadic motion capture database,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.373467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:21.202964Z digest=sha256:57d3b63450be5669f149acf615a4dc9d3ca1fd4e19cf80bd8e210eb02a69891e

Observation 4f1e5764-1b62-4966-a32c-eef64adaeaff · outbound

This paper cites M3er: Multiplicative multimodal emotion recognition using facial, textual, and speech cues,.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms M3er: Multiplicative multimodal emotion recognition using facial, textual, and speech cues,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.203452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:21.234497Z digest=sha256:69f9e325ff93046c4b73b0ad30c88634ef7bba4559a93e67b6223b33f86d5a49

Pith citing papers

Observation f62bad68-d2f6-4826-a68c-1e865c88264b · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms

Reference 209

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.610625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:706f28a09a22834d0c222923ec3b1a1543103c53f8b6efebb30dc944446ede19