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Paper Citation Record · LEDGER

Lightweight Federated Learning over Wireless Edge Networks

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.09546.

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

pith.paper-citation-record.v1
2507.09546 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:01:16.220746Z

measured 35 of 35 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 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

35 of 35 outbound references displayed

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  • verified fuzzy30
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74868eda-cf0b-46dc-880b-c19bd9e568c5 · outbound

This paper cites Federated learning in mobile edge networks: A comprehensive survey,.

Lightweight Federated Learning over Wireless Edge Networks Federated learning in mobile edge networks: A comprehensive survey,

Reference 1

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Observation 4da5c79b-f4d8-4813-bd69-cff5e0c8a40c · outbound

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

Lightweight Federated Learning over Wireless Edge Networks Edge intelligence: Paving the last mile of artificial intelligence with edge computing,

Reference 2

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Observation 9d230417-4425-40df-8087-117a1afc4f7b · outbound

This paper cites Sparks of generative pretrained transformers in edge intelligence for the metaverse: Caching and inference for mobile artificial intelligence-generated content services,.

Lightweight Federated Learning over Wireless Edge Networks Sparks of generative pretrained transformers in edge intelligence for the metaverse: Caching and inference for mobile artificial intelligence-generated content services,

Reference 3

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Observation 75bf7cc4-3d3a-47f1-b209-3b09423ea0e3 · outbound

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

Lightweight Federated Learning over Wireless Edge Networks Communication-efficient learning of deep networks from de- centralized data,

Reference 4

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Observation f18d7b62-e07b-4d08-b0e2-8c2b99ce1647 · outbound

This paper cites Gradient and channel aware dynamic scheduling for over-the-air computation in federated edge learning systems,.

Lightweight Federated Learning over Wireless Edge Networks Gradient and channel aware dynamic scheduling for over-the-air computation in federated edge learning systems,

Reference 5

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Observation c0fa6789-16e9-494f-a799-55c045622edb · outbound

This paper cites Adaptive control of local updating and model compression for efficient federated learning,.

Lightweight Federated Learning over Wireless Edge Networks Adaptive control of local updating and model compression for efficient federated learning,

Reference 6

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Observation 1161da08-327a-4cd1-b85b-f6c593a8c5a3 · outbound

This paper cites Mergesfl: Split federated learning with feature merging and batch size regulation,.

Lightweight Federated Learning over Wireless Edge Networks Mergesfl: Split federated learning with feature merging and batch size regulation,

Reference 7

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Observation 5ab1b32e-1241-42e4-b872-2baf9a6cf479 · outbound

This paper cites A joint learning and communications framework for federated learning over wireless networks,.

Lightweight Federated Learning over Wireless Edge Networks A joint learning and communications framework for federated learning over wireless networks,

Reference 8

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Observation c6d7a652-66bb-4bdf-8aa1-8820a86f5b68 · outbound

This paper cites Cell-free massive mimo for wireless federated learning,.

Lightweight Federated Learning over Wireless Edge Networks Cell-free massive mimo for wireless federated learning,

Reference 9

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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 1f5b3170-b911-4107-b771-3b00bf84ee24 · outbound

This paper cites Client selection and bandwidth allocation in wireless federated learning networks: A long-term perspective,.

Lightweight Federated Learning over Wireless Edge Networks Client selection and bandwidth allocation in wireless federated learning networks: A long-term perspective,

Reference 10

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Observation 487ef4a4-5f7e-4c9b-8bcf-17762e1b23f4 · outbound

This paper cites To talk or to work: Flexible communication compression for energy efficient federated learning over heterogeneous mobile edge devices,.

Lightweight Federated Learning over Wireless Edge Networks To talk or to work: Flexible communication compression for energy efficient federated learning over heterogeneous mobile edge devices,

Reference 11

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Observation 30e5dc3a-fc53-4abd-a865-462f013ca4a5 · outbound

This paper cites An exact quantized decentralized gradient descent algorithm,.

Lightweight Federated Learning over Wireless Edge Networks An exact quantized decentralized gradient descent algorithm,

Reference 12

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Observation a1e72909-d258-4a0c-a6e1-882a7cdcef5f · outbound

This paper cites Effi- cient federated learning for metaverse via dynamic user selection, gradient quantization and resource allocation,.

Lightweight Federated Learning over Wireless Edge Networks Effi- cient federated learning for metaverse via dynamic user selection, gradient quantization and resource allocation,

Reference 13

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Observation e70830e2-f57a-4d1e-b684-c1a4923dd3ba · outbound

This paper cites 1-bit compressive sensing for efficient federated learning over the air,.

Lightweight Federated Learning over Wireless Edge Networks 1-bit compressive sensing for efficient federated learning over the air,

Reference 14

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Observation 52b1e26d-059f-4ad3-9873-6a1c7a0f281e · outbound

This paper cites Robust and communication-efficient federated learning from non-i.i.d. data,.

Lightweight Federated Learning over Wireless Edge Networks Robust and communication-efficient federated learning from non-i.i.d. data,

Reference 15

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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 c974c47b-e343-4e9c-bdff-34f997e62bfc · outbound

This paper cites Dynamic model pruning with feedback,.

Lightweight Federated Learning over Wireless Edge Networks Dynamic model pruning with feedback,

Reference 16

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Observation 9394dbab-c6f1-45ea-87de-84f7f93f62a4 · outbound

This paper cites Joint model pruning and device selection for communication-efficient feder- ated edge learning,.

Lightweight Federated Learning over Wireless Edge Networks Joint model pruning and device selection for communication-efficient feder- ated edge learning,

Reference 17

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Observation b882c05f-d6ef-4119-a47c-ec19a06c7b18 · outbound

This paper cites Computation and communication efficient federated learning with adaptive model pruning,.

Lightweight Federated Learning over Wireless Edge Networks Computation and communication efficient federated learning with adaptive model pruning,

Reference 18

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Observation ee041939-4abc-4639-ad0a-384914a655a3 · outbound

This paper cites IoT device friendly and communication-efficient federated learning via joint model pruning and quantization,.

Lightweight Federated Learning over Wireless Edge Networks IoT device friendly and communication-efficient federated learning via joint model pruning and quantization,

Reference 19

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Observation ae614710-b053-4a2d-96cb-907669f5041d · outbound

This paper cites Generative AI based Secure Wireless Sensing for ISAC Networks.

Lightweight Federated Learning over Wireless Edge Networks Generative AI based Secure Wireless Sensing for ISAC Networks

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f916ba2-418e-442f-b1ce-8e921d04846c · outbound

This paper cites Convergence time optimization for federated learning over wireless networks,.

Lightweight Federated Learning over Wireless Edge Networks Convergence time optimization for federated learning over wireless networks,

Reference 21

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Observation a68778e0-afe3-4465-b7e7-d249e9ef223a · outbound

This paper cites Age of information based URLLC transmission for UAVs on pylon turn,.

Lightweight Federated Learning over Wireless Edge Networks Age of information based URLLC transmission for UAVs on pylon turn,

Reference 22

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Observation 06ed64b7-abc2-41f6-bed5-b0980cbfd2bb · outbound

This paper cites Secure and latency-aware digital twin assisted re- source scheduling for 5G edge computing-empowered distribu- tion grids,.

Lightweight Federated Learning over Wireless Edge Networks Secure and latency-aware digital twin assisted re- source scheduling for 5G edge computing-empowered distribu- tion grids,

Reference 23

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Observation 3f6d3708-b85c-4e9b-a8c7-662b84d1f16b · outbound

This paper cites Im- portance estimation for neural network pruning,.

Lightweight Federated Learning over Wireless Edge Networks Im- portance estimation for neural network pruning,

Reference 24

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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 89f9c576-d82c-47e0-8190-793752273f9e · outbound

This paper cites Accelerating federated learning with data and model parallelism in edge com- puting,.

Lightweight Federated Learning over Wireless Edge Networks Accelerating federated learning with data and model parallelism in edge com- puting,

Reference 26

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Observation ae5fc1b5-0967-496f-8741-2ee68e39ac76 · outbound

This paper cites Quantized federated learning under transmission delay and outage constraints,.

Lightweight Federated Learning over Wireless Edge Networks Quantized federated learning under transmission delay and outage constraints,

Reference 27

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Observation 01db17b4-b12c-42c2-ae19-8b79f4fee23a · outbound

This paper cites Federated Learning With Quantized Global Model Updates.

Lightweight Federated Learning over Wireless Edge Networks Federated Learning With Quantized Global Model Updates

Reference 28

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Source-reported events for the cited work

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Observation ae6dc992-08e8-475d-b74b-55f927ffaeec · outbound

This paper cites Design and analysis of uplink and downlink communications for federated learning,.

Lightweight Federated Learning over Wireless Edge Networks Design and analysis of uplink and downlink communications for federated learning,

Reference 29

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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 f7e50b89-28fa-4d30-8fc4-c0d6b9fef1c6 · outbound

This paper cites Sparsified sgd with memory,.

Lightweight Federated Learning over Wireless Edge Networks Sparsified sgd with memory,

Reference 30

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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 a4bfd769-4dda-4aa7-a507-cccfe6e0d132 · outbound

This paper cites UAV- enabled covert federated learning,.

Lightweight Federated Learning over Wireless Edge Networks UAV- enabled covert federated learning,

Reference 31

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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 bff52ed0-6cbf-4e9c-860d-81acf376ebac · outbound

This paper cites an unresolved cited work.

Lightweight Federated Learning over Wireless Edge Networks Unresolved cited work

Reference 32

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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 50585f90-a747-4734-9749-94c1b8da2f97 · outbound

This paper cites Taking the human out of the loop: A review of bayesian optimization,.

Lightweight Federated Learning over Wireless Edge Networks Taking the human out of the loop: A review of bayesian optimization,

Reference 33

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Observation 6f174b54-627a-4fe1-a7da-129be85c8e12 · outbound

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

Lightweight Federated Learning over Wireless Edge Networks Learning multiple layers of features from tiny images,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 931f8ed7-dcda-4e9e-8926-dd9662f9dffb · outbound

This paper cites SignSGD: Compressed optimisation for non-convex problems,.

Lightweight Federated Learning over Wireless Edge Networks SignSGD: Compressed optimisation for non-convex problems,

Reference 35

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

source=pdf_text observed=2026-08-06T18:01:16.217872Z digest=sha256:c05cf2561f289716901726702b5f1d328a12e9f311d431fed28e6b9b81d8f5bf

Observation 7b701ede-86d8-4728-9617-21871bcfe623 · outbound

This paper cites Therefore, substituting Eq.

Lightweight Federated Learning over Wireless Edge Networks Therefore, substituting Eq

Reference 36

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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=2026-08-06T18:01:16.220746Z digest=sha256:c8744e4721082be88dc8b2d92df049dfd29ff9b65d45b3e3f56e33b2efa984eb

Pith citing papers

No inbound Pith citation observations are available.