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Paper Citation Record · LEDGER

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2605.12566.

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

pith.paper-citation-record.v1
2605.12566 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:49:27.802287Z

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

  • verified exact3
  • verified fuzzy38
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0670e9ee-72e3-4055-813a-5623c6bc96d1 · outbound

This paper cites Rethink- ing modern communication from semantic coding to semantic communication.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Rethink- ing modern communication from semantic coding to semantic communication

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 83594645-bb0d-4fbd-842b-64de214150b0 · outbound

This paper cites Beyond transmitting bits: Context, semantics, and task-oriented communications.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Beyond transmitting bits: Context, semantics, and task-oriented communications

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5d5dede1-e983-42ff-a3a9-42b40a0f6239 · outbound

This paper cites FSSC: Federated learning of transformer neural networks for semantic image communication.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning FSSC: Federated learning of transformer neural networks for semantic image communication

Reference 3

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Source-reported events for the cited work

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Observation 9e2e4bbd-64c4-4cf9-9790-6d9954dccc7e · outbound

This paper cites FLSC-CI: Federated learning and semantic communication empowered multimodal terminal col- laborative inferencing framework for IoT businesses.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning FLSC-CI: Federated learning and semantic communication empowered multimodal terminal col- laborative inferencing framework for IoT businesses

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3c43d751-e900-4cb8-af18-8918539cf567 · outbound

This paper cites Federated learning based audio semantic communication over wireless net- works.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Federated learning based audio semantic communication over wireless net- works

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b47828f2-66e9-43ec-8f4b-da0a32ebd83d · outbound

This paper cites Deep joint source- channel coding for wireless image transmission.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Deep joint source- channel coding for wireless image transmission

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 08f06ec7-ca55-4765-b740-4511d58ca540 · outbound

This paper cites Wireless communications with unmanned aerial vehicles: Opportunities and challenges.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Wireless communications with unmanned aerial vehicles: Opportunities and challenges

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d7f9a386-9ff1-449e-9b82-92d70b255fd6 · outbound

This paper cites Beyond Gaussian assump- tions: A general fractional HJB control framework for Lévy- driven heavy-tailed channels in 6G.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Beyond Gaussian assump- tions: A general fractional HJB control framework for Lévy- driven heavy-tailed channels in 6G

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9b2a58ec-fb8d-484e-90a2-75487b9f1e2a · outbound

This paper cites Reconfigurable intelligent surface equipped UA V in emergency wireless communications: A new fading-shadowing model and performance analysis.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Reconfigurable intelligent surface equipped UA V in emergency wireless communications: A new fading-shadowing model and performance analysis

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7104fbf4-35d9-4915-b474-171f49279b7e · outbound

This paper cites Timeliness optimization of unmanned aerial vehicle lossy communications for Internet-of- Things.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Timeliness optimization of unmanned aerial vehicle lossy communications for Internet-of- Things

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4bb7183a-e968-4693-bc8d-9906c86df1cb · outbound

This paper cites Optimal trajectory and downlink power control for multi-type UA V aerial base stations.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Optimal trajectory and downlink power control for multi-type UA V aerial base stations

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 008e4440-1132-480c-a383-ae1998ccdd82 · outbound

This paper cites Neuro-symbolic causal reasoning meets signaling game for emergent semantic communications.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Neuro-symbolic causal reasoning meets signaling game for emergent semantic communications

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ee5964bf-5510-497a-824e-c205cf2d97ef · outbound

This paper cites Distributed user pairing and effective computation offloading in aerial edge networks.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Distributed user pairing and effective computation offloading in aerial edge networks

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0c43e1f2-7dff-4730-a1bf-141050737817 · outbound

This paper cites Low-end hand held communication devices in a post-disaster scenario.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Low-end hand held communication devices in a post-disaster scenario

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c5d4839a-6f1c-4bb9-81ef-e4141cc58ca7 · outbound

This paper cites Digital-Analog Transmission based Emergency Semantic Communications.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Digital-Analog Transmission based Emergency Semantic Communications

Reference 15

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verified exact
arxiv_id, observed 2026-05-14T20:52:59.094090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 189c5a6b-aaf2-4240-884b-773572e2a4cb · outbound

This paper cites Optimal transport framework for ISAC in low-altitude networks: Joint resource allocation for cooperative communication and non- cooperative localization.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Optimal transport framework for ISAC in low-altitude networks: Joint resource allocation for cooperative communication and non- cooperative localization

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0082689c-c08f-4d07-979e-d74080480348 · outbound

This paper cites Semantics-empowered communica- tion for networked intelligent systems.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Semantics-empowered communica- tion for networked intelligent systems

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 40beed4b-c0f3-4d13-aa76-dd0441ef0e15 · outbound

This paper cites Semantic communications for future Internet: Fundamen- tals, applications, and challenges.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Semantic communications for future Internet: Fundamen- tals, applications, and challenges

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 26ebbe85-1c51-4bec-9a28-f01c4e2984fb · outbound

This paper cites Deep joint source-channel coding for wireless image transmission with adaptive rate control.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Deep joint source-channel coding for wireless image transmission with adaptive rate control

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 98c23464-ad62-432a-a887-b058f21a422c · outbound

This paper cites Task-oriented multi- user semantic communications.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Task-oriented multi- user semantic communications

Reference 20

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raw_fallback, observed 2026-05-15T13:50:53.490480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:5e99fefc7fbdfd4b9b5fd862e3692d00d01707ce5da1fef5e91411ee25f37d4d

Observation 37cd240a-961e-4645-bcd4-640046c8f873 · outbound

This paper cites DeepJSCC-f: Deep joint source-channel coding of images with feedback.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning DeepJSCC-f: Deep joint source-channel coding of images with feedback

Reference 21

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raw_fallback, observed 2026-05-15T13:50:53.503941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fb8eae5c-e915-4a8e-ad62-d09e38fa2392 · outbound

This paper cites WITT: A wireless image transmission transformer for semantic communi- cations.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning WITT: A wireless image transmission transformer for semantic communi- cations

Reference 22

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raw_fallback, observed 2026-05-15T13:50:53.488510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:5bc0da6c6979772d28f08c6ba834e49b77ae4677e406cb927047f9c9f1cac0e0

Observation 6e6bcac1-b204-4efc-8821-eabf42345890 · outbound

This paper cites Demo: Real-time semantic communications with a vision transformer.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Demo: Real-time semantic communications with a vision transformer

Reference 23

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raw_fallback, observed 2026-05-15T13:50:53.486562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0588f07a-db9c-4e7e-b636-27047adace1e · outbound

This paper cites Semantic successive refinement: A generative AI-aided semantic communication framework.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Semantic successive refinement: A generative AI-aided semantic communication framework

Reference 24

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raw_fallback, observed 2026-05-15T13:50:53.492558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3dc5e3f0-ffe6-43a6-a3ae-d4b72055a63c · outbound

This paper cites Adap- tive semantic generation and NOMA-based interference-aware conveying for 6G networks.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Adap- tive semantic generation and NOMA-based interference-aware conveying for 6G networks

Reference 25

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raw_fallback, observed 2026-05-15T13:50:53.484413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c026d6a0-8b02-4c1a-b007-3b6686fe44cc · outbound

This paper cites Federated learning in mobile edge net- works: A comprehensive survey.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Federated learning in mobile edge net- works: A comprehensive survey

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d8d3dbd1-a89e-4530-a046-24ce0f18925c · outbound

This paper cites Joint client scheduling and wireless resource allocation for heterogeneous federated edge learning with non-IID data.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Joint client scheduling and wireless resource allocation for heterogeneous federated edge learning with non-IID data

Reference 27

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raw_fallback, observed 2026-05-15T13:50:53.411866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1c4feeb6-b854-46f0-b05b-1a4b1367d7cd · outbound

This paper cites Toward energy- efficient multiple IRSs: Federated learning-based configuration optimization.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Toward energy- efficient multiple IRSs: Federated learning-based configuration optimization

Reference 28

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raw_fallback, observed 2026-05-15T13:50:53.471693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:b38368cb87e9641782ffe9532752c0d7d0763a01968dc50988f7f27634f9f141

Observation 97e2813c-869b-403e-bce5-786f153a9c81 · outbound

This paper cites From semantic communication to semantic-aware networking: Model, architecture, and open problems.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning From semantic communication to semantic-aware networking: Model, architecture, and open problems

Reference 29

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raw_fallback, observed 2026-05-15T13:50:53.474060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:41bef7636e5bbd8e9ccbb5901f0349a4136dd918ddcc30b294ccd0b0ccb3f24d

Observation 71272a17-2f06-45b4-83d6-9f64d9bc4037 · outbound

This paper cites Attention is all you need.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Attention is all you need

Reference 30

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raw_fallback, observed 2026-05-15T13:50:53.476119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:618d1625b0418d9da5cad4b587c48e814baf1cfb71c57141dc9c35dfe8b3c41d

Observation 80071012-ce0b-410a-8ed1-5173d1dda724 · outbound

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

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 31

Resolution
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local_arxiv, observed 2026-05-14T20:52:59.098394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:67183480aa2097f8e81c6356693afeaecd3d587b8720a7b3782653e20377c724

Observation 6099c1d4-dea3-492e-a0b7-f6c7ac7e58e6 · outbound

This paper cites Swin Transformer: Hierarchical vision transformer using shifted windows.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Swin Transformer: Hierarchical vision transformer using shifted windows

Reference 32

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verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.478222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:2ebf9fb44bf1438ed52b7dfce68afa712b4b55247ed020ae3a1d9d8e8a77174e

Observation e33aa259-476a-46e5-b02f-0a4308e8ef6e · outbound

This paper cites Communication-efficient learning of deep networks from decen- tralized data.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Communication-efficient learning of deep networks from decen- tralized data

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.482390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:c4bf04f46c177bc5c5d51b2cfb39d44ef125700933e231584f536ff2370d0692

Observation f7e99606-4bd1-4066-9853-8bbfa1acfc9e · outbound

This paper cites MobileViT: Light-weight, general- purpose, and mobile-friendly vision transformer.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning MobileViT: Light-weight, general- purpose, and mobile-friendly vision transformer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.480267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:3c9403e1cf8bfbe34cefd4b29fd166e19dcafde80585ffa855c0ee13bcb03602

Observation fffcaf42-9d38-48a1-bcf4-4af02e4e422e · outbound

This paper cites Deep leakage from gradients.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Deep leakage from gradients

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.506066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:c653e3afcc1de10bcba790c1125a6a1e5bc2a2bd219b8fb870892381dd275e6e

Observation ce1bd9c1-7afc-40dd-8c4f-a9f26dd49786 · outbound

This paper cites GradViT: Gradient inversion of vision transformers.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning GradViT: Gradient inversion of vision transformers

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.461215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:177366d00da386dcb3458a8a60a68f5e3c1007a2d37844b6486d6cb2cfbeed54

Observation ab0da4ee-49d4-4374-9b2e-74d84b3f2537 · outbound

This paper cites The model inversion eavesdropping attack in semantic communication systems.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning The model inversion eavesdropping attack in semantic communication systems

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.449784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:d805e2f363aa5e9475a528b5b5e4d04a4a2f5176d5c3cfbf81394e7be6a69905

Observation 5faedcfd-c096-401d-af29-eaa2648f07d9 · outbound

This paper cites Deep learning with differential privacy.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Deep learning with differential privacy

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.458493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:d9d95dc9583b849fb949d473838f8b59bb57ac393ef8406b09d9641d967bacd4

Observation f9a16bbd-5f73-46c2-a1ad-7d4ae0f244bb · outbound

This paper cites Practical secure aggregation for privacy- preserving machine learning.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Practical secure aggregation for privacy- preserving machine learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.441266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:0c7461c3c9eecec5d20cfb671cf1841e0a7d321a97f62bfb8447f26a98c0fb9f

Observation e5e30df5-c905-4d35-8296-c603985af70e · outbound

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

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Learning multiple layers of features from tiny images

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:50:53.429207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:f7cc89470bad7394319efc72b9721b28a17614c8bf9d2a94d1e1d00493e3ae8f

Observation 3e0dea97-9c3f-42a9-b4f6-eebb5142b171 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning Adam: A Method for Stochastic Optimization

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-14T20:52:59.089223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:49:27.802287Z digest=sha256:77ce2799e3c614d46d6844576a213fafe0e7184fcac1628d25b98102d9144016

Pith citing papers

No inbound Pith citation observations are available.