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Paper Citation Record · LEDGER

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel

As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.13861.

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

pith.paper-citation-record.v1
2411.13861 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:53:22.083057Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e88d3e3f-f06f-4890-b03e-96f4658a1b23 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentral- ized Data,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Communication-Efficient Learning of Deep Networks from Decentral- ized Data,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T15:53:22.825430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.540717Z digest=sha256:e900d834d931809918ac989de226b6583eecd48fcb84f20fdbab15e27814933e

Observation 0e3ecf31-ae6d-4c28-ad36-73a25389d067 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Federated Learning: Strategies for Improving Communication Efficiency

Reference 2

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no resolver link, observed 2026-08-12T15:53:21.559254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:21.559254Z digest=sha256:78725a56fe6537590be24fc4c6abc0b552f8e26f36d2d3c5d43379b80e9dee1a

Observation 53fd3733-51e9-4b0d-bc6d-c6f1d4c4b2c5 · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Local SGD Converges Fast and Communicates Little

Reference 3

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source=pdf_text observed=2026-08-12T15:53:21.585707Z digest=sha256:6e77aca324e2215df2f2af74caf3a21724d27a2ae598e4cafa9a04a3d00ef6a5

Observation 3b8ccf51-901d-4e3e-b2ef-7b2da9e85266 · outbound

This paper cites Parallel restarted SGD with faster con- vergence and less communication: Demystifying why model averaging works for deep learning,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Parallel restarted SGD with faster con- vergence and less communication: Demystifying why model averaging works for deep learning,

Reference 4

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raw_fallback, observed 2026-08-12T15:53:22.816605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.588694Z digest=sha256:0ecb54cdd1355ff7c2827da5015818911aea55870c03c281663957aaf3764b54

Observation 793cf2dd-41ba-4354-ba6b-70abc0d0a8c5 · outbound

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

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization,

Reference 5

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raw_fallback, observed 2026-08-12T15:53:22.801230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.591909Z digest=sha256:c7670950d8ce06c9524f9d04c018ade70d9edc1164a8a88202673b88c7ae6c35

Observation 50d01c60-eb53-4fcb-af33-02f4d89f32c7 · outbound

This paper cites To talk or to work: Dynamic batch sizes assisted time efficient federated learning over future mobile edge devices,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel To talk or to work: Dynamic batch sizes assisted time efficient federated learning over future mobile edge devices,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:21.595826Z digest=sha256:6ffd06d2f4590963bb8df2c7897c3c572eae1af46bf09498c75f4c11fc640b4d

Observation e5c7d21c-869d-46d1-8a37-dcf67279e3bf · outbound

This paper cites Optimal Batch Allocation for Wireless Federated Learning.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Optimal Batch Allocation for Wireless Federated Learning

Reference 7

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local_arxiv, observed 2026-08-12T15:53:22.190873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.599505Z digest=sha256:8eaa1a5eb79e8533821c2f7ffcc0faaca353fd1b06d8baaf60844e263a337932

Observation 639ebb4f-649f-43fc-9712-1076997f84d1 · outbound

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

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel A joint learning and communications framework for federated learning over wireless networks,

Reference 8

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raw_fallback, observed 2026-08-12T15:53:22.710463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.602866Z digest=sha256:a2a2449b6383ec426bf917b9b90a4a15fe2e868610917ee7338c2e841e86ab50

Observation caeeef9b-d061-42dc-ac48-ccaf83b29e56 · outbound

This paper cites Wireless distributed edge learning: How many edge devices do we need?.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Wireless distributed edge learning: How many edge devices do we need?

Reference 9

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raw_fallback, observed 2026-08-12T15:53:22.681986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.605594Z digest=sha256:a20ff7518bbe7093438f88a88aa77ce517544d0fbe01bfe28d47416965dcddd4

Observation 47b2addb-61f5-4dbe-b7dc-74fb511ba074 · outbound

This paper cites Scheduling policies for federated learning in wireless networks,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Scheduling policies for federated learning in wireless networks,

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:21.610151Z digest=sha256:327cd829cb4d5d048d5318cf4af25c0ddeec04add7de69cd74941b8ab29aa854

Observation 8c9480ed-4485-4e8f-8c33-9cfa991649e9 · outbound

This paper cites Joint device selection and bandwidth allocation for cost-efficient federated learning in industrial internet of things,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Joint device selection and bandwidth allocation for cost-efficient federated learning in industrial internet of things,

Reference 11

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raw_fallback, observed 2026-08-12T15:53:22.667783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.680104Z digest=sha256:5dd7e518c122423788c915ea07576ae476fab23b4a8b11b6d5d3a2a94b36674a

Observation 3f101084-24d6-49ad-9d9c-22fa83932f51 · outbound

This paper cites Over-the-air aggregation-based federated learning in cache-enabled wireless edge networks,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Over-the-air aggregation-based federated learning in cache-enabled wireless edge networks,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.813837Z digest=sha256:000ae1318a25250f15f4c324924b3c276ebd56eb9eb48c930b6fde19fd5007d8

Observation 88e1ca6d-abc7-47a7-91cc-44afb01a2865 · outbound

This paper cites Base station dataset-assisted broadband over-the-air aggregation for communication-efficient federated learning,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Base station dataset-assisted broadband over-the-air aggregation for communication-efficient federated learning,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.885499Z digest=sha256:f4f70df446636de3f5b6a95553c8e4917d0a5570691c2b9a1308a254f0016591

Observation 6f4c990c-b13e-49d8-8284-ecdd9cccd144 · outbound

This paper cites Latency minimization for tdma-based wireless federated learn- ing networks,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Latency minimization for tdma-based wireless federated learn- ing networks,

Reference 14

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raw_fallback, observed 2026-08-12T15:53:22.563363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.888147Z digest=sha256:8162f3ddb685cf74da9b78db1f404a7a9701547342181743812c59f6561358a6

Observation c4347a95-2e39-4e31-a18c-0efe9db41a75 · outbound

This paper cites Device scheduling for energy-efficient federated learning over wireless network based on tdma mode,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Device scheduling for energy-efficient federated learning over wireless network based on tdma mode,

Reference 15

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raw_fallback, observed 2026-08-12T15:53:22.511487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.891975Z digest=sha256:f730f4f928d87090760e9ad0655d4150c3994c6a3aa7e7826f1ef3cc21f58b43

Observation b47e95e2-e7d9-4fe2-bd44-2cf8eac7c95a · outbound

This paper cites Wireless quantized federated learning: A joint computation and communication design,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Wireless quantized federated learning: A joint computation and communication design,

Reference 16

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raw_fallback, observed 2026-08-12T15:53:22.501489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.894878Z digest=sha256:a20d57fb44f3144b8eef3e8043902e4096af031ed22eb5ac64e758390e90f3ed

Observation 5e065476-2146-4f7d-8c7f-d9dd21801c5f · outbound

This paper cites Multi- channel aloha optimization for federated learning with multiple models,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Multi- channel aloha optimization for federated learning with multiple models,

Reference 17

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raw_fallback, observed 2026-08-12T15:53:22.492788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.897662Z digest=sha256:0b24f427f3b40cc0172ad2df714dca986490a401bb6190a0c1182329c82b06e3

Observation 1f574f38-ec41-4d02-b972-8c2484b92996 · outbound

This paper cites Adaptive federated learning with gradient compression in uplink noma,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Adaptive federated learning with gradient compression in uplink noma,

Reference 18

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raw_fallback, observed 2026-08-12T15:53:22.440797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.901411Z digest=sha256:0b407d8d7470a75f64a7383c2fb0021401f1c6730f95ab6c99b4d6ac96196d49

Observation 0b51a944-8730-4c12-a797-9d944af67cfb · outbound

This paper cites Asynchronous decentralized parallel stochastic gradient descent,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Asynchronous decentralized parallel stochastic gradient descent,

Reference 19

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raw_fallback, observed 2026-08-12T15:53:22.334814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:21.948197Z digest=sha256:e17809c6146811087ede16c0709bd2b575861151ed021bfc6af00df7f44b8875

Observation f22dd139-799a-4dea-b99d-c9a554cb111b · outbound

This paper cites Sharper convergence guaran- tees for asynchronous sgd for distributed and federated learning,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Sharper convergence guaran- tees for asynchronous sgd for distributed and federated learning,

Reference 20

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raw_fallback, observed 2026-08-12T15:53:22.325524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:22.027306Z digest=sha256:420ff202da1dc50b2afd20d403947301b6c34adc650e6e1d84afc39e403d12de

Observation 789afc48-945e-4a72-97e4-2d2adc7b17b1 · outbound

This paper cites Asynchronous federated learning over wireless communication networks,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Asynchronous federated learning over wireless communication networks,

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:22.055402Z digest=sha256:5e606b271f9c7f12f56038d8078efc4efdb95d088ec5839b28d0072191a262ac

Observation 11cc4fc8-8705-49c5-a7e6-d5daa0dd5bf7 · outbound

This paper cites Scheduling and aggregation design for asynchronous federated learning over wireless networks,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Scheduling and aggregation design for asynchronous federated learning over wireless networks,

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:22.065544Z digest=sha256:c38135274be75d16bef1bf96f08f77d2a0cebe2d51abf91c6cd26e4c9a4be301

Observation a52e84c8-eff0-45e2-b284-63f16cf557b4 · outbound

This paper cites The MNIST database of handwritten digit images for machine learning research,.

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel The MNIST database of handwritten digit images for machine learning research,

Reference 23

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raw_fallback, observed 2026-08-12T15:53:22.305022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:53:22.071174Z digest=sha256:22196a10b03ec888eb9027f34b2c0a44d294a1efdf5e549445cfae5e3e36d6b3

Observation 131b7ec8-160e-4b7f-9855-57b62c4daf2b · outbound

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

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel Learning multiple layers of features from tiny images,

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:22.083057Z digest=sha256:bdf0db10317727128b249fa98b58601758b1e58b8b7a05391819f59359aabe28

Pith citing papers

No inbound Pith citation observations are available.