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Paper Citation Record · LEDGER

Federated Split Learning with Improved Communication and Storage Efficiency

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.15816.

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

pith.paper-citation-record.v1
2507.15816 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:31:31.805869Z

measured 57 of 57 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

57 of 57 outbound references displayed

  • verified exact3
  • verified fuzzy42
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3673214b-1788-488c-a8e7-b2d2bdd18853 · outbound

This paper cites Communication and storage efficient federated split learning,.

Federated Split Learning with Improved Communication and Storage Efficiency Communication and storage efficient federated split learning,

Reference 1

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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.

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Observation 442e6550-b821-4fca-9485-de321a67b646 · outbound

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

Federated Split Learning with Improved Communication and Storage Efficiency Communication-efficient learning of deep networks from decentralized data,

Reference 2

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Observation 4d49ca24-71c3-40b1-a3f9-e83f8ddd96e0 · outbound

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

Federated Split Learning with Improved Communication and Storage Efficiency Distributed learning of deep neural network over multiple agents,

Reference 3

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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 0117d263-5c8c-4a20-85ce-c124317ac7f4 · outbound

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

Federated Split Learning with Improved Communication and Storage Efficiency Split learning for health: Distributed deep learning without sharing raw patient data

Reference 5

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source=pdf_text observed=2026-08-06T15:31:31.663537Z digest=sha256:e0d7d57ad4677e25445beb169cc941980613e842277a53fff4e5842610d47c04

Observation a9e25195-2683-492f-b019-3ca50f502e95 · outbound

This paper cites SplitFed: When Federated Learning Meets Split Learning.

Federated Split Learning with Improved Communication and Storage Efficiency SplitFed: When Federated Learning Meets Split Learning

Reference 6

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source=pdf_text observed=2026-08-06T15:31:31.666190Z digest=sha256:f583bab5b719df35583248f7a2eaaa8dd5c00fe7d522349e2a0f4b66d21ccdcf

Observation 6bc664e1-4517-4de7-a8e5-0e6c4ab8e529 · outbound

This paper cites Fedsl: Federated split learning on distributed sequential data in recurrent neural networks,.

Federated Split Learning with Improved Communication and Storage Efficiency Fedsl: Federated split learning on distributed sequential data in recurrent neural networks,

Reference 7

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raw_fallback, observed 2026-08-06T15:31:32.277781Z

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.

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Observation 797fdb69-b123-4cf0-9fbf-b17057d5e5c4 · outbound

This paper cites Group knowledge transfer: Federated learning of large cnns at the edge,.

Federated Split Learning with Improved Communication and Storage Efficiency Group knowledge transfer: Federated learning of large cnns at the edge,

Reference 8

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Source-reported events for the cited work

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

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Observation 55a73cbf-e957-4b31-9ddb-6a3d9d552e1f · outbound

This paper cites Accelerating federated learning with split learning on locally generated losses,.

Federated Split Learning with Improved Communication and Storage Efficiency Accelerating federated learning with split learning on locally generated losses,

Reference 9

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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=2026-08-06T15:31:31.674513Z digest=sha256:b4415528f2ec860e41c769567ecfaf9cccca942e7f87c4ccc36426aa4a17f0cf

Observation 5992a721-91ce-4641-b99e-a44a0103c62e · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Federated Split Learning with Improved Communication and Storage Efficiency Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 10

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source=pdf_text observed=2026-08-06T15:31:31.677073Z digest=sha256:5d30946e25f78ebff81b1c89487953b1745a94c8c5e99d54e1736fa40d8dfc68

Observation d5f0b2b9-d232-4453-a0e4-bccff93d0b6d · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

Federated Split Learning with Improved Communication and Storage Efficiency Federated learning: Challenges, methods, and future directions,

Reference 11

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source=pdf_text observed=2026-08-06T15:31:31.679890Z digest=sha256:f5866dd5b05754aa4a571acaf97d79ab448fef49f5e6d90c6e159955ea0c6d66

Observation 8cd91ac6-feb8-4471-aa4c-d2ba07f6a7c3 · outbound

This paper cites Advances and Open Problems in Federated Learning.

Federated Split Learning with Improved Communication and Storage Efficiency Advances and Open Problems in Federated Learning

Reference 12

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source=pdf_text observed=2026-08-06T15:31:31.682532Z digest=sha256:71354c3957114d8f7d89bc7db561abb3112192f10fa94ffb027c81123a2fd99a

Observation 24b9d6d5-9bf0-416b-92fd-a0f0f37e0975 · outbound

This paper cites Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

Federated Split Learning with Improved Communication and Storage Efficiency Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 13

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source=pdf_text observed=2026-08-06T15:31:31.685541Z digest=sha256:70cd3071a72a6e2c1e9ac98f696d1d7e44547e78c725f188dddce6c5a2128b3c

Observation 3d2bd1d5-00c1-420b-bf8a-4645905cecd1 · outbound

This paper cites Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization.

Federated Split Learning with Improved Communication and Storage Efficiency Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization

Reference 14

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local_arxiv, observed 2026-08-06T15:31:31.894726Z

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.

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Observation 35667cd2-5059-4254-a443-b4936c4e72c2 · outbound

This paper cites Atomo: Communication-efficient learning via atomic spar- sification,.

Federated Split Learning with Improved Communication and Storage Efficiency Atomo: Communication-efficient learning via atomic spar- sification,

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 ed330307-a2c2-41e4-9b66-c92f11dd83f6 · outbound

This paper cites Error feedback fixes SignSGD and other gradient compression schemes,.

Federated Split Learning with Improved Communication and Storage Efficiency Error feedback fixes SignSGD and other gradient compression schemes,

Reference 16

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:31:31.693526Z digest=sha256:1589fb8b8f09d24bc8fea928aa599c2ff125358076d7f94abd694edda2ec61dc

Observation 8f4ccd34-9286-45c3-b901-01b3e4804423 · outbound

This paper cites Federated learning with heterogeneous quantization bit allocation and aggregation for Internet of Things,.

Federated Split Learning with Improved Communication and Storage Efficiency Federated learning with heterogeneous quantization bit allocation and aggregation for Internet of Things,

Reference 17

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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 d431addf-29db-43ff-ada5-dc32b03bfd32 · outbound

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

Federated Split Learning with Improved Communication and Storage Efficiency Design and analysis of uplink and downlink communications for federated learning,

Reference 18

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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=2026-08-06T15:31:31.702078Z digest=sha256:cb1ba1dd19f601cf6a8c4555b2baaf115d22677765ed5e008c27fe32cec223fe

Observation 47257648-2e41-49d7-a21b-b7fcc821a8fa · outbound

This paper cites Dynamic aggregation for heterogeneous quantization in federated learning,.

Federated Split Learning with Improved Communication and Storage Efficiency Dynamic aggregation for heterogeneous quantization in federated learning,

Reference 19

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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 cae96752-393e-4cab-8eed-88ce6997b54d · outbound

This paper cites Joint optimal quantization and aggregation of federated learning scheme in V ANETs,.

Federated Split Learning with Improved Communication and Storage Efficiency Joint optimal quantization and aggregation of federated learning scheme in V ANETs,

Reference 20

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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 5a485cd0-e24a-4fb0-9359-8630a2fa7485 · outbound

This paper cites Resource rationing for wireless federated learning: Concept, benefits, and challenges,.

Federated Split Learning with Improved Communication and Storage Efficiency Resource rationing for wireless federated learning: Concept, benefits, and challenges,

Reference 21

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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=2026-08-06T15:31:31.709844Z digest=sha256:136d7c9eb23a6904900bcd19bcef42bab701f139286d765c424ff00e176728e9

Observation b495be51-b943-4a60-8dce-5c0cce0702bb · outbound

This paper cites Random orthogonalization for federated learning in massive MIMO systems,.

Federated Split Learning with Improved Communication and Storage Efficiency Random orthogonalization for federated learning in massive MIMO systems,

Reference 22

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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 9df4523f-4fb7-4974-a223-efe34d38c644 · outbound

This paper cites Efficient Model Compression for Hierarchical Federated Learning.

Federated Split Learning with Improved Communication and Storage Efficiency Efficient Model Compression for Hierarchical Federated Learning

Reference 23

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local_arxiv, observed 2026-08-06T15:31:31.883085Z

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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=2026-08-06T15:31:31.714845Z digest=sha256:9ed300d659d63bf45d8b4e3f92e324a48d1841abf0353d0e4ea2b4086d8f9356

Observation ce1660ea-acea-418e-8a71-21968b30a7dc · outbound

This paper cites Fedsl: A communication-efficient federated learning with split layer aggregation,.

Federated Split Learning with Improved Communication and Storage Efficiency Fedsl: A communication-efficient federated learning with split layer aggregation,

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 ea539953-e818-4e29-ae64-0be54673eef5 · outbound

This paper cites Can we use split learning on 1d cnn models for privacy preserving training?.

Federated Split Learning with Improved Communication and Storage Efficiency Can we use split learning on 1d cnn models for privacy preserving training?

Reference 25

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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=2026-08-06T15:31:31.720326Z digest=sha256:60cbd01c82a1cf3a9e4ae73b7c8d94b3fe4d2f3d40a8e8ce208fc023ecc067c0

Observation 7f7162c7-f3ad-4b86-a0b5-73fc4831ab5a · outbound

This paper cites Split Learning for collaborative deep learning in healthcare.

Federated Split Learning with Improved Communication and Storage Efficiency Split Learning for collaborative deep learning in healthcare

Reference 26

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source=pdf_text observed=2026-08-06T15:31:31.722814Z digest=sha256:e62ec27debc7eae97912ea14a6ac256c7fa3792337c9c73967f2dc4ec4def641

Observation 2a5ac1d3-8d2b-48aa-aa3b-524d64db3db3 · outbound

This paper cites Multiple classification with split learning,.

Federated Split Learning with Improved Communication and Storage Efficiency Multiple classification with split learning,

Reference 27

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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=2026-08-06T15:31:31.725461Z digest=sha256:702baeb1ff27b55bf44c870b08c5fb3069ce966dbd0f8466e8d4bfcf8746a81c

Observation 63001a36-9c35-4562-a6b3-ee6ce4191f6e · outbound

This paper cites Unleashing the tiger: Inference attacks on split learning,.

Federated Split Learning with Improved Communication and Storage Efficiency Unleashing the tiger: Inference attacks on split learning,

Reference 28

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raw_fallback, observed 2026-08-06T15:31:32.159250Z

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=2026-08-06T15:31:31.728128Z digest=sha256:959a7ddb99ca8c47fafe89c8f4ce07fcd59496fdd0502f2d1f13ce23c6bb9af3

Observation 918e53d3-134a-4e5c-ab5f-8d41307fc5db · outbound

This paper cites Neural compression and filtering for edge-assisted real-time object detection in challenged networks,.

Federated Split Learning with Improved Communication and Storage Efficiency Neural compression and filtering for edge-assisted real-time object detection in challenged networks,

Reference 29

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raw_fallback, observed 2026-08-06T15:31:32.150875Z

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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=2026-08-06T15:31:31.730517Z digest=sha256:b748afc3c7d246cf17aed8fb07211b45be57487a1d21c91ae6ea15f06b3497fc

Observation 29c7be52-f865-429a-ad36-a76bea36e816 · outbound

This paper cites Spliteasy: A practical approach for training ml models on mobile devices,.

Federated Split Learning with Improved Communication and Storage Efficiency Spliteasy: A practical approach for training ml models on mobile devices,

Reference 30

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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=2026-08-06T15:31:31.733276Z digest=sha256:59f810f4c555bfc8e21e68b16c054d9138a717368a65bf69d3810d3548d3c56c

Observation 55673e59-85d5-4399-8ab4-63e77763d734 · outbound

This paper cites End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things.

Federated Split Learning with Improved Communication and Storage Efficiency End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:31.735748Z digest=sha256:ad341034da5da835ec3c1cd08a1c54f78ca117d87b98d1c58a51ce3ee0daa168

Observation 14eae9eb-b234-4be1-8b8c-f0bf79e4aa9a · outbound

This paper cites Detailed comparison of communication efficiency of split learning and federated learning.

Federated Split Learning with Improved Communication and Storage Efficiency Detailed comparison of communication efficiency of split learning and federated learning

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:31.738488Z digest=sha256:e8624774a0d66dd1ff9b42472f678ea08da0b10a3a2a3620526b9e89db2e7746

Observation 8b8f5396-8eee-4b48-8848-1be8e3c70283 · outbound

This paper cites Learning the optimal partition for collaborative dnn training with privacy requirements,.

Federated Split Learning with Improved Communication and Storage Efficiency Learning the optimal partition for collaborative dnn training with privacy requirements,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.134877Z

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=2026-08-06T15:31:31.741147Z digest=sha256:652238e67c87576a7c94226d9d10cd9d2d3b6774b82a50db66feff9d15c31a4d

Observation cd29828a-d0cc-48cf-86b7-6b6d2d396b55 · outbound

This paper cites Hivemind: Towards cellular native machine learning model splitting,.

Federated Split Learning with Improved Communication and Storage Efficiency Hivemind: Towards cellular native machine learning model splitting,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.126503Z

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=2026-08-06T15:31:31.743606Z digest=sha256:11c7fe75a5001d29fec5b798f1c83e09a9e8a95bb3954af6c2886df4d4fc22a2

Observation cd848faf-3f73-4685-bb34-d6e54c1b9c59 · outbound

This paper cites Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training.

Federated Split Learning with Improved Communication and Storage Efficiency Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training

Reference 35

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local_arxiv, observed 2026-08-06T15:31:31.846528Z

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=2026-08-06T15:31:31.746219Z digest=sha256:d355b2640a3d49bf67ef5a717a1b8b15438cb2cf2672e75bc1d173911f9f73b5

Observation 937ca8c8-a762-4f06-8fcc-95cdada5d080 · outbound

This paper cites Dfl: Dynamic federated split learning in heterogeneous iot,.

Federated Split Learning with Improved Communication and Storage Efficiency Dfl: Dynamic federated split learning in heterogeneous iot,

Reference 36

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raw_fallback, observed 2026-08-06T15:31:32.117772Z

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=2026-08-06T15:31:31.748970Z digest=sha256:4fb664ce8c186ad65cfae01766c28a4dd83849c71b25d9a86377c8af2cc24915

Observation c219c372-28ee-4367-a207-315e37d0de90 · outbound

This paper cites Privacy and efficiency of communications in federated split learning,.

Federated Split Learning with Improved Communication and Storage Efficiency Privacy and efficiency of communications in federated split learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.109627Z

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=2026-08-06T15:31:31.751350Z digest=sha256:0f822ea5e4fc870fe1e71293aa6c5a97071fe290b8d137c39c73933d2305e7ea

Observation a0f5486a-2ec3-4906-9c87-18c6c6a891b8 · outbound

This paper cites Exploring the privacy-energy consumption tradeoff for split federated learning,.

Federated Split Learning with Improved Communication and Storage Efficiency Exploring the privacy-energy consumption tradeoff for split federated learning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.101269Z

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=2026-08-06T15:31:31.753901Z digest=sha256:b278c09e43d7a2d0715ae6ab2c7912e3ce940cac3ea865e6f331c897e2a53bbd

Observation b980e361-cf77-444d-acc1-ad6adc74842d · outbound

This paper cites Optimizing privacy and latency tradeoffs in split federated learn- ing over wireless networks,.

Federated Split Learning with Improved Communication and Storage Efficiency Optimizing privacy and latency tradeoffs in split federated learn- ing over wireless networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.092584Z

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=2026-08-06T15:31:31.756349Z digest=sha256:3e11b9264d97703a586c4f01f7a1ee0ce6a1fc527d6db3449113bc55c6cc9347

Observation e711d471-23dc-4d6a-b0f0-8c0ad62e25ba · outbound

This paper cites Ppsfl: Privacy-preserving split federated learning for heterogeneous data in edge-based internet of things,.

Federated Split Learning with Improved Communication and Storage Efficiency Ppsfl: Privacy-preserving split federated learning for heterogeneous data in edge-based internet of things,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.084272Z

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=2026-08-06T15:31:31.758824Z digest=sha256:7b16a15d51d18aa6a8a00ea009828da6f3253d94bef03c260e7c445c3488e596

Observation 1c1cd3f2-e448-43f7-a4cc-6615cdacc140 · outbound

This paper cites Efficient parallel split learning over resource-constrained wireless edge networks,.

Federated Split Learning with Improved Communication and Storage Efficiency Efficient parallel split learning over resource-constrained wireless edge networks,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:31:31.761420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:31.761420Z digest=sha256:fb10f9ac43f18ee7a720447aa3477fdcbc02d796060de70904255acf3c68a6f4

Observation a84ada9f-5560-4492-a03f-8145617bff43 · outbound

This paper cites Esfl: Ef- ficient split federated learning over resource-constrained heterogeneous wireless devices,.

Federated Split Learning with Improved Communication and Storage Efficiency Esfl: Ef- ficient split federated learning over resource-constrained heterogeneous wireless devices,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.070471Z

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=2026-08-06T15:31:31.763994Z digest=sha256:95c9bf3438671515552b296e98551d27cf0c04c912cca791f50a8f4056b45e27

Observation f62e5c70-4a0a-4252-82af-9ff7df807ced · outbound

This paper cites Communication-efficient split learning via adaptive feature-wise compression,.

Federated Split Learning with Improved Communication and Storage Efficiency Communication-efficient split learning via adaptive feature-wise compression,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.062600Z

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=2026-08-06T15:31:31.766441Z digest=sha256:5d1760ec3b6f655c9c54764fab735945dee46521bfbdd871577fabbde67533d3

Observation b94c132f-6d8a-4c3e-9631-42bc187f8a04 · outbound

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

Federated Split Learning with Improved Communication and Storage Efficiency Asynchronous federated learning over wireless communication networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.054089Z

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=2026-08-06T15:31:31.769144Z digest=sha256:e926cf570f3855bd6a3b1ce301e9dd2389fc3fd7abd0ab14504b749556a70de5

Observation dfb604be-e2c8-46a3-b535-332f243f117c · outbound

This paper cites Efficient asyn- chronous federated learning with prospective momentum aggregation and fine-grained correction,.

Federated Split Learning with Improved Communication and Storage Efficiency Efficient asyn- chronous federated learning with prospective momentum aggregation and fine-grained correction,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.045990Z

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=2026-08-06T15:31:31.771555Z digest=sha256:c9a4ef3163425ff638040b861816c927ed8898520678a0891359560f710e2eaa

Observation 99739ddc-46f2-4b78-b1ca-46532d1ff542 · outbound

This paper cites Energy-efficient dynamic asynchronous federated learning in mobile edge computing net- works,.

Federated Split Learning with Improved Communication and Storage Efficiency Energy-efficient dynamic asynchronous federated learning in mobile edge computing net- works,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.037633Z

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=2026-08-06T15:31:31.774070Z digest=sha256:cfae10dda8103fd649812d057fcb73346ea17123b9fb084c026b0ab55e18ef23

Observation 73467950-d258-4626-9d91-6afc2c4cb476 · outbound

This paper cites Digital twin enabled asynchronous splitfed learning in e-healthcare systems,.

Federated Split Learning with Improved Communication and Storage Efficiency Digital twin enabled asynchronous splitfed learning in e-healthcare systems,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.028295Z

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=2026-08-06T15:31:31.776669Z digest=sha256:fe775e4083a9dc8942d1c56a102f495448310efebd8e11e3696bd57c68ab0e8b

Observation c12be80c-f449-40fb-86fa-e906aa189c7d · outbound

This paper cites Semi-asynchronous federated split learning for computing-limited devices in wireless net- works,.

Federated Split Learning with Improved Communication and Storage Efficiency Semi-asynchronous federated split learning for computing-limited devices in wireless net- works,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.020175Z

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=2026-08-06T15:31:31.779492Z digest=sha256:512c3d7c5ef2ee306fdf2caf89ff0315a39030a1b7b4dd46be477fed3c52a016

Observation 959bbe40-5714-416f-a815-2d74011177b1 · outbound

This paper cites Boyd and L.

Federated Split Learning with Improved Communication and Storage Efficiency Boyd and L

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.011530Z

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=2026-08-06T15:31:31.781861Z digest=sha256:8ae55dbec8f78bb3670f0c6f11e9742e74ee07348f3ff71142229958c1b87ea0

Observation 1243617b-0a7a-43ef-a2f9-ac4f2e32830a · outbound

This paper cites On the convergence of FedAvg on non-IID data,.

Federated Split Learning with Improved Communication and Storage Efficiency On the convergence of FedAvg on non-IID data,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:32.003182Z

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=2026-08-06T15:31:31.784410Z digest=sha256:4641d3cdd3e511abcce65554e07771284b41fcdb6bc976c8498b531c5ae06a67

Observation 8b0ec602-5453-41d7-b49e-cf8f3ce6867d · outbound

This paper cites Federated learning over noisy channels: Con- vergence analysis and design examples,.

Federated Split Learning with Improved Communication and Storage Efficiency Federated learning over noisy channels: Con- vergence analysis and design examples,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:31.995163Z

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=2026-08-06T15:31:31.786980Z digest=sha256:178be92ec12416f486cd68b5e36b4db619ec37b43939f406902afc0923ce289d

Observation 12fbad7e-5127-4872-a542-6661ce567e96 · outbound

This paper cites On the convergence of hybrid server- clients collaborative training,.

Federated Split Learning with Improved Communication and Storage Efficiency On the convergence of hybrid server- clients collaborative training,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:31.985435Z

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=2026-08-06T15:31:31.789580Z digest=sha256:2fe16e58e472e337cee6ac4c4ef03469241d629755052e425119ec418bce5b51

Observation 594fcb37-b081-4988-9221-4f2a4a9c7129 · outbound

This paper cites Decoupled greedy learning of cnns,.

Federated Split Learning with Improved Communication and Storage Efficiency Decoupled greedy learning of cnns,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:31.976865Z

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=2026-08-06T15:31:31.792097Z digest=sha256:4e15849cdebc5311919922550f97115de39cdf8b3374442275867370c47b003e

Observation b2172053-613c-4581-bf76-821c5b53d98f · outbound

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

Federated Split Learning with Improved Communication and Storage Efficiency Learning multiple layers of features from tiny images,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:31.968659Z

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=2026-08-06T15:31:31.794540Z digest=sha256:404029b547555c9f879cd9997457583e1f046918d7cbfcb71144eba03e075fab

Observation 4eb03127-bd08-4be2-9db7-884ab67dcad5 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Federated Split Learning with Improved Communication and Storage Efficiency LEAF: A Benchmark for Federated Settings

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T15:31:31.797217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:31.797217Z digest=sha256:57cd372fffe5aba0372036d637820376f5ceae21d23504f076914e3c3954ca57

Observation d02c7dcf-c507-4303-ab5f-04e42a108eb7 · outbound

This paper cites On the difficulty of training recurrent neural networks,.

Federated Split Learning with Improved Communication and Storage Efficiency On the difficulty of training recurrent neural networks,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:31.960411Z

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=2026-08-06T15:31:31.800067Z digest=sha256:bad705927017b729b7128452fc56e8024f6457cdfefd9a923bd5b7b801061a14

Observation 4cd033ef-9207-4761-86bb-fcedb647ab81 · outbound

This paper cites Adaptive federated optimization,.

Federated Split Learning with Improved Communication and Storage Efficiency Adaptive federated optimization,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:31.952260Z

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=2026-08-06T15:31:31.802495Z digest=sha256:5490309eeffaff2c139872116df64082a584a9472ef1d7fcff1dbfeed25be160

Observation 749f16ff-90ae-4094-9a82-a4c436066306 · outbound

This paper cites (46) where the last inequality holds because n2 nX i=1 E h ∇Fs(xt+1 s,i ) 2i ≥ nX i=1 i iX j=1 E h ∇Fs(xt+1 s,j ) 2i.

Federated Split Learning with Improved Communication and Storage Efficiency (46) where the last inequality holds because n2 nX i=1 E h ∇Fs(xt+1 s,i ) 2i ≥ nX i=1 i iX j=1 E h ∇Fs(xt+1 s,j ) 2i

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:31.944191Z

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=2026-08-06T15:31:31.805869Z digest=sha256:a8a3042bf7d5f7587e8b17774bbe70124d1a05b887d16d3ffb1c562acc43fa8a

Pith citing papers

No inbound Pith citation observations are available.