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Paper Citation Record · LEDGER

Federated Split Learning with Improved Communication and Storage Efficiency

As of 15 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 2026-08-15T06:32:42.880941+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
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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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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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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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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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

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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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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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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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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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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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+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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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 2026-08-15T06:32:42.880941+00:00.

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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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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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+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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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:fea5129936e188edcd91c0576d14b6109951d5a1856913b3ac5f5e874c40e1db

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 2026-08-15T06:32:42.880941+00:00.

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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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.730517Z digest=sha256:78d235d55b0d88a468a9df366bb26f156b77f5ca6a1d5a7488e7a69f976077e6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.733276Z digest=sha256:eb81df1e29a8914d1924f2d96e3fe35f6282199fbd0456f901603e7f37b3b2a4

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=sha256:29d5ba1ec0b2e7361aaf154ce5ebe7273d4c4f662517eea2a1c69882f1d69c7b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:31.738488Z digest=sha256:2499afb92e4768532981e9184090e6a7e7bb9a163e217981cff27111f206c42c

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.741147Z digest=sha256:888d9e49202c4668fac0ea7bdaa317d89cde5772d40eb6e020d15380a3fdb699

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.743606Z digest=sha256:73300857b0bd833e8019a90d3652f57553736f29f6a589dafd33c4e8d491452b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.746219Z digest=sha256:f5792d6ef22d557c7eb286b6efd9ff2843f0178f26978a9ea8938c173f9b8bda

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.748970Z digest=sha256:e8147a58f0135505556201f929c391bc04486f89b1153fcd7a5250a44e2f48ae

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.751350Z digest=sha256:5c599868bb80dfab08b24b1e9c7afabf2cb18652f45b3952d6bf1a54d33f3a58

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.753901Z digest=sha256:375ea326b7c58134aa27d0b34f9e5b51b487bf82f997c2b802010b465cbcffd6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.756349Z digest=sha256:7ced3d8c92313e65be25dd3c7e76f92f42907b61c5dc4192c23dcf87207b5124

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.758824Z digest=sha256:8bf01ef5fde537ff7f0046d6848fdab2526ac6a66e6a49c95d6a01897a6406fe

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=sha256:0a71d925f0b8b0c4984c03b26b646cf2a56fe595a3bd6af244b9cb9867e4793d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.763994Z digest=sha256:7cdba6b6f9d6623f7d6f2c841c123e37ef70786e749fa0d29062c3d4f2bd8033

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.766441Z digest=sha256:570de053c08e3efcb28abb790104b3f90c91b43f71869fdecc7d099ba9bd6bf9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.769144Z digest=sha256:e263a21fb138a86deb14843edf2c0a434bab2d19de1ae1951ed0628e32cb068b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.771555Z digest=sha256:9dfb2ddd2063b82b6397d6afd7f062115f49c53443e0bc9e9de2c788958c82e1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.774070Z digest=sha256:1c360212d6099396a97a66d1edfdbb319d823dcc5c77f289588f3efbed787373

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.776669Z digest=sha256:e98d9e9b3bf1dc1357c2a259f0a4b93db83115b6552fa624099a896ed77d5e19

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.779492Z digest=sha256:44f95d519fb9da803c3d67150aa0247d05a84f50790cf57600a4569b2b4c801c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.781861Z digest=sha256:e460290223635ff6e07f424b6947c23952396131bb3a8815495c74f18b3a0364

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.784410Z digest=sha256:d69da0f2b0f029903718234bfa2fb27759e6ad21a79f192628de70545fd86b6c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.786980Z digest=sha256:3883a39ac95daeb9dded67b59a7a07281f481d94981ea5cedd421bd90792a558

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.789580Z digest=sha256:ca2960547599864253db5776516d305078c8804b5e6f569da93cb8860409f0f9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.792097Z digest=sha256:7aae51c36c984226c6c0812dd053322a742342066b70f5d5036bfbd25cf6be06

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.794540Z digest=sha256:02d656070808ec9a85e6601f64278ee0fa212c642753524066dbca01e54965b7

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=sha256:072e997b93bba1ef93b48e018be2dbf68fb6832a379c57365d02748ee9e1e8b9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.800067Z digest=sha256:489537b231c80ade575cb4feec40565556345aa3d760544a4aeb800ab2b9bdc9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.802495Z digest=sha256:088cefec842953f0349ee36a3327eff9a25b4c7d8f2f437369f9e9b8bbe90e1b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:31:31.805869Z digest=sha256:b5587955c150dfc55407851374326ff749b67dc58bd45b4156c259aa691c0d22

Pith citing papers

No inbound Pith citation observations are available.