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Paper Citation Record · LEDGER

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2502.00182.

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

pith.paper-citation-record.v1
2502.00182 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:57:19.479647Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:28.633807Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:15:30.051679Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f2ed4d0-4507-4240-8345-74101a0e89ff · outbound

This paper cites In: ICLR (2021).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICLR (2021)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.719454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.407302Z digest=sha256:b011269774c014a2e8d379d4f90b62bde9e8217852b33ca1b098cdefb8d82c20

Observation 6e0f43b9-eea6-44b9-8bbd-3426297f8bfa · outbound

This paper cites In: ICLR (2021).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICLR (2021)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.710384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.412070Z digest=sha256:591525a9c74c578a9182409f30424b64c374ce3450aff7f3f8a9de15ee5780ac

Observation 84e68016-d6b5-4779-8cb4-1e327897278c · outbound

This paper cites NeurIPS (2006).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study NeurIPS (2006)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.701320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.415479Z digest=sha256:7d82a4bec4e48a1fd2e76741153e869333f011fff8b3beb0bf5baa97938b87fe

Observation 339eb239-479f-4e6e-9d64-3efc2e6582bb · outbound

This paper cites NeurIPS (2012).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study NeurIPS (2012)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.692405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.418772Z digest=sha256:d922c09a46a9bc4a73d35c92cf44371190ca78b35feb3c600b5e3a2d367b9ee6

Observation 4c0661d3-c978-4a37-bf16-2791316a503a · outbound

This paper cites In: ICLR (2021).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICLR (2021)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.683307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.422274Z digest=sha256:8085ebdfdfa14c8e45a8ff4644bb7f7df635ed4926b373f28e4e8dfdfd41c8ce

Observation 6a3c8e1c-4399-4177-9c03-39efe8332347 · outbound

This paper cites Foundations and trends in machine learning (2021).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study Foundations and trends in machine learning (2021)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.673727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.425798Z digest=sha256:d7b6c8d7e61b0571b33c90f3198d920f1db1e6e383a163c1f841e3e5de9ec7ef

Observation c5e90bcf-566b-40ec-9cfe-4d135ff79a4b · outbound

This paper cites In: ICML.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICML

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.664224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.429375Z digest=sha256:db65b35db9fef4d7cf97989dbd13187da1de484f7ba27e5dfce66450719b46dc

Observation 5daae462-f4d5-4ff9-9dee-3ad6ba791958 · outbound

This paper cites In: ICLR (2017).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICLR (2017)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.653879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.432492Z digest=sha256:6aa2ea82b6e52846d7dc7c0dd194d05dd6e1c0f6f1ce558401163ab0f547b963

Observation ea6294f7-c066-4071-89c0-8ea1028d8c31 · outbound

This paper cites In: CVPR (2024).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: CVPR (2024)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.645074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.435735Z digest=sha256:a2183fcb163027c9a4b703e7a8b2150b9836675a4016703d970136b35481ae0c

Observation 55114f0b-a41d-4128-a0e4-9cd397068788 · outbound

This paper cites NeurIPS (2022).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study NeurIPS (2022)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.636059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.439071Z digest=sha256:654043977273236435fdc3f2da7d1b091bb32305106db86e70ea382dfbe91669

Observation dd24b965-d951-4e2a-ab96-a5048df69358 · outbound

This paper cites NeurIPS (2018).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study NeurIPS (2018)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.626656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.442273Z digest=sha256:77d73a6044dcf22c4ab9ce4be71af299d9646d987cfb28e460bc76e6765267ff

Observation 2e5ba8f0-25f6-43f6-9f86-9d52c1d4f501 · outbound

This paper cites In: CVPR (2021) Title Suppressed Due to Excessive Length 15.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: CVPR (2021) Title Suppressed Due to Excessive Length 15

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.617250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.445356Z digest=sha256:837761d811a320da0c46389442693909db01ed90651b0d1ee7c9f661ba730830

Observation 0c542f90-45fe-43e7-9226-70de6f655356 · outbound

This paper cites MLSys (2020).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study MLSys (2020)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.607283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.448526Z digest=sha256:3fef07f55f27ac700058e1cef4283f2432e5ea0cc3895db21b26d81b23f73da7

Observation 9f76a741-87ae-4917-bc94-25dd42196682 · outbound

This paper cites In: AISTATS.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: AISTATS

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.597559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.451480Z digest=sha256:78b4030130484774f32331a0b6c574e2b177f1b1c944fe18723e5b7cafc05bbc

Observation ab9fa6fc-597a-407d-8a5c-1f9415a476d3 · outbound

This paper cites In: ICML.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICML

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.587555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.454500Z digest=sha256:06be09ec90bdc699f56fa1cc5ea9f56e0553fd866cedd895187a38065bcf6b7c

Observation 2eda2842-6d9c-4bf1-acd5-90c5e8bf7334 · outbound

This paper cites In: ICLR (2021).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICLR (2021)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.577260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.457381Z digest=sha256:dc2ec9a7f3b302fc1a1121022bdee439a917e41aa09e3944e230531bbbe85d10

Observation 7332f7ad-1de9-45a2-b9c1-663592e6307b · outbound

This paper cites An overview of gradient descent optimization algorithms.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study An overview of gradient descent optimization algorithms

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:19.460289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:57:19.460289Z digest=sha256:60d5c81920237e538b3bc215602ef15b851d2622345af9633adc51b9f5eb1162

Observation 6862694d-d459-4ab8-a928-a3f22f6811be · outbound

This paper cites Horovod: fast and easy distributed deep learning in TensorFlow.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study Horovod: fast and easy distributed deep learning in TensorFlow

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:19.463843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:57:19.463843Z digest=sha256:1f3b7b0b6a7a7a9b94c584b0b986e432ae927217bc2814f060a33aac37887b36

Observation 1253b496-5bba-4c77-b1cc-13ab032c4431 · outbound

This paper cites In: ICLR (2019).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICLR (2019)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.567411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.467158Z digest=sha256:73b8a136bf8cc1de31b83b1c6024b430729c64d3d543d94e7e3ff537a7030443

Observation 7c9effa4-4058-446a-86d6-c44753fe6558 · outbound

This paper cites In: ICML.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICML

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.557058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.469968Z digest=sha256:21f794e8b53c0ffced4a99c0def1f34cd37ed2dfea461196c9aed74c1e2deb76

Observation 2af4501e-38dd-48cb-b8bd-7b74dc1628c1 · outbound

This paper cites In: ICML.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study In: ICML

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.546959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.473159Z digest=sha256:d2aa27e7452c9eb80e7e70ce62eb0bf5a737ac47e45e6f9d60a52f5daa701e13

Observation 02944cd8-1920-418c-a48d-e4d410fa481f · outbound

This paper cites Federated Learning with Non-IID Data.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study Federated Learning with Non-IID Data

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T19:57:19.476164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:57:19.476164Z digest=sha256:8e5889c903f9dad8e3a014ada375980269f6bfd8b9bee63a2e39f94a6410e981

Observation 8797258c-f85a-4539-a020-c043918da888 · outbound

This paper cites NeurIPS (2010).

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study NeurIPS (2010)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:57:19.536652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-09T19:57:19.479647Z digest=sha256:bb19c01ec65d9d6ac8bf9ecda6b10b6322ca52617e48eea4702a9022177912c5

Pith citing papers

Observation fcee1be4-4204-42fb-b7cb-65e397b49626 · inbound

Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity cites this paper.

Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:15:30.104695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:28.633807Z digest=sha256:2e4ba5ccc4589d17ec2da4614f8c9d4efb1d56d2ad07d8671ff716486328b34b