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Paper Citation Record · LEDGER

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization

As of 14 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2411.13907.

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

pith.paper-citation-record.v1
2411.13907 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:49:19.479619Z

measured 18 of 18 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:58:28.426602Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:23:39.622740Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 918091f4-20df-443b-8edb-fe19998a1f09 · outbound

This paper cites Machine learning in the air,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Machine learning in the air,

Reference 1

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no resolver link, observed 2026-08-12T15:49:19.422479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.422479Z digest=sha256:2710f4b700691dc0bdc69e0bec14269df792e5cc54fb793012f1cced7c5b123d

Observation 500cea69-7c3a-4daa-9d17-317fac5f6eef · outbound

This paper cites Fed- erated learning: Strategies for improving communication efficiency,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Fed- erated learning: Strategies for improving communication efficiency,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T15:49:19.639841Z

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=2026-08-12T15:49:19.427030Z digest=sha256:879aa3335acfdfe0a296e6a926f5df7b66caa951be58adacfa46f1259c75a86e

Observation 56b1db44-bc18-4a87-ab3e-55eeec425558 · outbound

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

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Split learning for health: Distributed deep learning without sharing raw patient data

Reference 3

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no resolver link, observed 2026-08-12T15:49:19.431269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.431269Z digest=sha256:19c5116f5f614dbea0cf216892aae38ff3c0316f99b09f30623de9756415a51e

Observation 725cca3f-fe6a-4a2d-9a86-e1e36022fc87 · outbound

This paper cites Distributed learning of deep neural network over multiple agents,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Distributed learning of deep neural network over multiple agents,

Reference 4

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no resolver link, observed 2026-08-12T15:49:19.435779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.435779Z digest=sha256:e24dc1f33cc6b8e9030a27691810b6d8aa039a8c820aa06abbcd55e947952daa

Observation 6b9ce27c-7939-49f0-aa90-7ca29fa8a900 · outbound

This paper cites A survey on federated learning: The journey from centralized to distributed on-site learning and beyond,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization A survey on federated learning: The journey from centralized to distributed on-site learning and beyond,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T15:49:19.620204Z

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=2026-08-12T15:49:19.439462Z digest=sha256:0ebd80811793ca019fd8475049a1adcf7dedc3fb4eca7b8599529e8f3f379acb

Observation 8133719f-db5c-4c29-9f5e-d65fe23a478c · outbound

This paper cites Privacy-sensitive parallel split learning,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Privacy-sensitive parallel split learning,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-12T15:49:19.608121Z

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=2026-08-12T15:49:19.443302Z digest=sha256:9b9ee6e3de02decbaf9b5e13a9f7620a1c8172f409c4d435c017b8cfe59c2f5c

Observation e55633b5-901e-4401-9c81-7644bf5308b5 · outbound

This paper cites Federated or split? a performance and privacy analysis of hybrid split and federated learning architectures,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Federated or split? a performance and privacy analysis of hybrid split and federated learning architectures,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T15:49:19.595699Z

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=2026-08-12T15:49:19.447343Z digest=sha256:ee04df4c86f51173e70c92f4644e7d9a665fe17bbb2012c4ebd7981acb2001e1

Observation 3dd39247-2017-4144-841c-e52de9bfdb97 · outbound

This paper cites Splitfed: When federated learning meets split learning,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Splitfed: When federated learning meets split learning,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-12T15:49:19.582039Z

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=2026-08-12T15:49:19.450912Z digest=sha256:266cd1c841f8a582ce3dc59bc6bfff79eede94b9d8e4b567302e4ef100465cf9

Observation 62b90203-e89e-4f97-8d32-a05935c9064a · outbound

This paper cites Locfedmix-sl: Localize, federate, and mix for improved scalability, convergence, and latency in split learning,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Locfedmix-sl: Localize, federate, and mix for improved scalability, convergence, and latency in split learning,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-12T15:49:19.569836Z

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=2026-08-12T15:49:19.454313Z digest=sha256:16e896326a415541c961db1a475473db7901f1c443c089acfd48b416ff9432d1

Observation 60808eea-e17a-4879-9709-4aff1704af55 · outbound

This paper cites Split learning over wireless networks: Parallel design and resource management,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Split learning over wireless networks: Parallel design and resource management,

Reference 10

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no resolver link, observed 2026-08-12T15:49:19.457788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.457788Z digest=sha256:3d42d64a4560c7a09c7d2e634daac82474939ba25bcb577029335e35522df14e

Observation b152e66a-cc15-4c8f-9486-672a47b03d97 · outbound

This paper cites The sample average approximation method for stochastic discrete optimization,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization The sample average approximation method for stochastic discrete optimization,

Reference 11

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no resolver link, observed 2026-08-12T15:49:19.461174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.461174Z digest=sha256:a5b66ce23f169912c3fdb69125250ac8f0177bfacb1165db36fc0c859fe2b760

Observation 8ee59a79-110b-46f3-8e8d-d1e4a8d6461c · outbound

This paper cites Genetic algorithm,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Genetic algorithm,

Reference 12

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unresolved
no resolver link, observed 2026-08-12T15:49:19.464575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.464575Z digest=sha256:d6d053698e09bc9b5e568a3bbc10961925e52b5a295a0caaaaf1d80d44c71823

Observation 1a7b1a7e-fb2e-4254-8689-4598c83fb356 · outbound

This paper cites Deep residual learning for image recognition,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Deep residual learning for image recognition,

Reference 13

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no resolver link, observed 2026-08-12T15:49:19.468182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.468182Z digest=sha256:ca3a1168c677cd16c7c8a1f1f8eff26f49a5c80a20b9772701baca50c5feb4f7

Observation 4215936d-1e2a-4711-a7ed-d0325b91ecbb · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,

Reference 14

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no resolver link, observed 2026-08-12T15:49:19.472346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.472346Z digest=sha256:d87d200fefcfe0811bdcb0b4a66db13afd79b1ad7371f5742680de163e3fe7b6

Observation 16ae2424-47df-427d-867a-da67aaf25792 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Gradient-based learning applied to document recognition,

Reference 15

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no resolver link, observed 2026-08-12T15:49:19.476081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.476081Z digest=sha256:f26682d9b5e1dbdd7dffd8cf0168f134a606dd0248e38a61c953d7509fd5986b

Observation e256cc34-d3a6-4ab1-88ea-717e7d5c0271 · outbound

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

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Learning multiple layers of features from tiny images,

Reference 16

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unresolved
no resolver link, observed 2026-08-12T15:49:19.479619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:49:19.479619Z digest=sha256:f9b9a0d57f63b6b6349b7cf90ff5302041958f6db258cde2b946b250f19f0e2c

Pith citing papers

Observation 43cd6282-df1e-435c-9301-1234a3dfe6ef · inbound

P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices cites this paper.

P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization

Reference 28

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unresolved
no resolver link, observed 2026-08-06T14:58:28.426602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:58:28.426602Z digest=sha256:e8288c8f3d2e0dc6615ade25d17b327fdc3cf7bb0e839ffd3980e12f5eb3a8cb

Observation 2f115219-b819-460a-b4f3-14c8d00b474f · inbound

StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting cites this paper.

StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization

Reference 30

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verified exact
arxiv_id, observed 2026-06-29T16:23:39.624000Z

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=2026-06-29T16:14:59.091896Z digest=sha256:ae8990654e1a9bfcce4f6742a8993628719e9c1fb280bdd5ee3afb1d0e1bc72b