Paper Citation Record · LEDGER

Federated Unlearning Model Recovery in Data with Skewed Label Distributions

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.13466.

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

pith.paper-citation-record.v1
2412.13466 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:11:06.158140Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

42 of 42 outbound references displayed

verified exact2
verified fuzzy26
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df342aaa-947a-4ff3-ade8-820f7105dc94 · outbound

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

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Communication- efficient learning of deep networks from decentralized data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:05.750468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058b2a1b-1a5f-4795-85b5-35784fdeb8cf · outbound

This paper cites A survey on federated learning.Knowledge- Based Systems, 216:106775, 2021.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions A survey on federated learning.Knowledge- Based Systems, 216:106775, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.433772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eaa2787d-d08b-4bfa-9e43-e7c484c2e635 · outbound

This paper cites A survey on federated unlearning: Challenges, methods, and future directions.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions A survey on federated unlearning: Challenges, methods, and future directions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.404953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7131dc2e-5829-43ed-af5f-97ac84ba574d · outbound

This paper cites Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:11:06.491280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 882e7331-2901-4bdc-9029-18c91b6aa21d · outbound

This paper cites A Survey on Federated Unlearning: Challenges and Opportunities.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions A Survey on Federated Unlearning: Challenges and Opportunities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:05.789169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b00df8-53ed-4ad8-a8fa-7700568fd41f · outbound

This paper cites Federated unlearning and its privacy threats.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated unlearning and its privacy threats

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.379729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 00496eeb-bfd6-45ef-84fb-1e85916302af · outbound

This paper cites Modeling global distribution for federated learning with label distribution skew.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Modeling global distribution for federated learning with label distribution skew

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.346290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 128163b1-c905-42a4-976c-ff3bde52a871 · outbound

This paper cites Federated learning with label distribution skew via logits calibration.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated learning with label distribution skew via logits calibration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.317576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a3fe97f-71eb-4481-af92-f4ee5b936e0f · outbound

This paper cites Fedrs: Federated learning with restricted softmax for label distribution non-iid data.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Fedrs: Federated learning with restricted softmax for label distribution non-iid data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.282499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 191812c5-fa64-45c0-8a38-6c8cb27b9ec9 · outbound

This paper cites QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:11:06.403723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2331dda3-6168-48d8-acf8-bf9faac5de5d · outbound

This paper cites Deepsmote: Fusing deep learning and smote for imbalanced data.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Deepsmote: Fusing deep learning and smote for imbalanced data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.253015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 63b1a850-7116-4fbb-b8aa-1fa091b27cd2 · outbound

This paper cites The eu general data protection regulation (gdpr).A Practical Guide, 1st Ed., Cham: Springer International Publishing, 10(3152676):10–5555, 2017.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions The eu general data protection regulation (gdpr).A Practical Guide, 1st Ed., Cham: Springer International Publishing, 10(3152676):10–5555, 2017

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.219928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e44bfcc-6b5d-4ce9-9159-d8d7bb94714c · outbound

This paper cites The california consumer privacy act of 2018.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions The california consumer privacy act of 2018

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.187099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 254d52ec-59c7-4b23-a6bf-4744845e4c8f · outbound

This paper cites The right to be forgotten in federated learning: An efficient realization with rapid retraining.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions The right to be forgotten in federated learning: An efficient realization with rapid retraining

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.163609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 687a0534-cb2b-43b9-b208-38c14cc3de07 · outbound

This paper cites Federated Unlearning: How to Efficiently Erase a Client in FL?.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated Unlearning: How to Efficiently Erase a Client in FL?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:05.908451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b7bc3e2-8289-40a2-957e-1dafe4ecebcb · outbound

This paper cites Federated unlearning: Guarantee the right of clients to forget.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated unlearning: Guarantee the right of clients to forget

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.128060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 75d79f22-d787-4a6c-9fde-d78ece1f98d4 · outbound

This paper cites Learn to Forget: Machine Unlearning via Neuron Masking.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Learn to Forget: Machine Unlearning via Neuron Masking

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:05.927348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99243288-9ee9-4e1e-a261-c2b7bf0e07cd · outbound

This paper cites Exact-fun: An exact and efficient federated unlearning approach.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Exact-fun: An exact and efficient federated unlearning approach

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.094016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42a17178-36ce-44c0-8805-540c8841f588 · outbound

This paper cites Forget-svgd: Particle-based bayesian federated unlearning.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Forget-svgd: Particle-based bayesian federated unlearning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.069610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6989471-3d30-4b8c-9164-8beb4c6ed211 · outbound

This paper cites Fedrecovery: Differentially private machine unlearning for federated learning frameworks.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Fedrecovery: Differentially private machine unlearning for federated learning frameworks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:07.036749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b429a33-1758-45e7-8e2a-c2ced7e053e8 · outbound

This paper cites Verifi: Towards verifiable federated unlearning.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Verifi: Towards verifiable federated unlearning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.997197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 07bdb259-f218-48a5-9303-30397afefc0f · outbound

This paper cites Sifu: Sequential informed federated unlearning for efficient and provable client unlearning in federated optimization.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Sifu: Sequential informed federated unlearning for efficient and provable client unlearning in federated optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:05.972559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0281922a-f8f2-493a-a729-1d5fbc96debb · outbound

This paper cites Federated unlearning via class-discriminative pruning.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated unlearning via class-discriminative pruning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:05.980385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f36a7ea-a379-4309-995b-bfb3d36ccd0b · outbound

This paper cites A state-of-the-art survey on solving non-iid data in federated learning.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions A state-of-the-art survey on solving non-iid data in federated learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.922816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c67964a-9659-40a4-bf82-3895f78fe4f7 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated learning on non-iid data silos: An experimental study

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:05.998941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3233527f-ba26-4d87-bc16-432468404048 · outbound

This paper cites Federated learning with non-iid data: A survey.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated learning with non-iid data: A survey

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.873548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f504bf26-deeb-4959-93dd-3dc90b3f6529 · outbound

This paper cites Robust and communication- efficient federated learning from non-iid data.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Robust and communication- efficient federated learning from non-iid data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.846304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd3c3e7f-c6c8-45e4-8e31-992e59da55e9 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Scaffold: Stochastic controlled averaging for federated learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:06.023709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19cbb49a-a998-4037-9003-d371894d88ba · outbound

This paper cites Model-contrastive federated learning.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Model-contrastive federated learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:06.035700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6576f15f-dcc6-4d09-9106-6a3fe409cf1e · outbound

This paper cites Data distribution-aware online client selection algorithm for federated learning in heterogeneous networks.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Data distribution-aware online client selection algorithm for federated learning in heterogeneous networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.778478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55ac99d0-3d60-452c-b008-a8bbdf452c17 · outbound

This paper cites Adaptive federated learning on non-iid data with resource constraint.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Adaptive federated learning on non-iid data with resource constraint

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.754585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d6dea941-b5d7-4132-aa81-a2af5e12a116 · outbound

This paper cites Federated learning enabled hotel customer classification towards imbalanced data.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated learning enabled hotel customer classification towards imbalanced data

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.731038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 662364df-21da-46fb-a808-6ccdaac8f629 · outbound

This paper cites Federated Learning with Non-IID Data.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Federated Learning with Non-IID Data

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:06.078743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de86cfc-7c98-477b-b5e5-d33e2f476051 · outbound

This paper cites Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.709819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d5856df-3a45-4f9f-8aff-8c51924c7a68 · outbound

This paper cites Towards asynchronous federated learning based threat detection: A dc-adam approach.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Towards asynchronous federated learning based threat detection: A dc-adam approach

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.683068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 484696f2-fe50-4c5a-ac54-bf4d436b7527 · outbound

This paper cites Dynamic margin for federated learning with imbalanced data.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Dynamic margin for federated learning with imbalanced data

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.661770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b7c0d537-1cbf-422e-8ff0-69bd2d7a4171 · outbound

This paper cites Lof: identifying density-based local outliers.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Lof: identifying density-based local outliers

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.635878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5d07d23f-93e8-4aad-a2d8-33adac93ae3f · outbound

This paper cites Anomaly detection: A survey.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Anomaly detection: A survey

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:06.119421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e213b0-845f-42e6-b86a-e7ff552dd60d · outbound

This paper cites Loci: Fast outlier detection using the local correlation integral.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Loci: Fast outlier detection using the local correlation integral

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:11:06.589877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 58b99f3d-6353-4218-b9bc-ac2cfea87141 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Federated Unlearning Model Recovery in Data with Skewed Label Distributions The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:06.140190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cda0168-3ed3-438c-a7f2-8f1d37310eba · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:06.149440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f9b5d9-75cf-43a4-9f2f-6ef3befbe6dd · outbound

This paper cites an unresolved cited work.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:11:06.525707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.