Paper Citation Record · LEDGER

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.04189.

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

pith.paper-citation-record.v1
2607.04189 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T21:05:03.994941Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

43 of 43 outbound references displayed

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verified fuzzy0
unresolved42
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

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Outbound references

Observation cd4ed11b-288b-4c07-8186-896b9de5e981 · outbound

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

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Communication-efficient learning of deep networks from decentralized data,

Reference 1

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Observation 1124afc4-8b9e-468d-ac47-245a9f13aee8 · outbound

This paper cites Giant: Globally improved approximate newton method for dis- tributed optimization,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Giant: Globally improved approximate newton method for dis- tributed optimization,

Reference 2

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Observation 8b1f8302-4f0b-4e64-a524-1c6190d0e3e9 · outbound

This paper cites Com- munication efficient distributed machine learning with the parameter server,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Com- munication efficient distributed machine learning with the parameter server,

Reference 3

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Observation 992735d4-ea30-4116-9a74-4fc0b118902d · outbound

This paper cites Firecaffe: Near-linear acceleration of deep neural network training on compute clusters,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Firecaffe: Near-linear acceleration of deep neural network training on compute clusters,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 2f9ac772-23cb-4ccd-8441-44cae98ca3ea · outbound

This paper cites Co- boosting++: Coupled optimization of data and ensemble for one-shot federated learning,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Co- boosting++: Coupled optimization of data and ensemble for one-shot federated learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 24d51d12-cf11-4fcc-bb71-a53e0a0e06da · outbound

This paper cites Tighter theory for local sgd on identical and heterogeneous data,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Tighter theory for local sgd on identical and heterogeneous data,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 4a7976e2-ec91-4e66-b8ab-c3e31d638327 · outbound

This paper cites Is local sgd better than minibatch sgd?.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Is local sgd better than minibatch sgd?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation afe98d06-7c66-4b57-a4b2-fdc5a4fe9075 · outbound

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

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Federated learning: Challenges, methods, and future directions,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation cac842c4-56a8-43fe-9cb9-d19481dbeb7b · outbound

This paper cites Fedskip: Combatting statistical heterogeneity with fed- erated skip aggregation,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Fedskip: Combatting statistical heterogeneity with fed- erated skip aggregation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 6e70b8b7-2d9d-4fd8-8787-262abc8667ad · outbound

This paper cites Federated learning based on dynamic regularization,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Federated learning based on dynamic regularization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 4fbe88ad-e1c8-4909-8277-44ccd8b0ea3c · outbound

This paper cites Model-contrastive federated learning,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Model-contrastive federated learning,

Reference 11

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Observation 0247ce0f-60d8-4314-b660-192ca1055c56 · outbound

This paper cites Towards the flatter landscape and better generalization in federated learning under client-level dif- ferential privacy,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Towards the flatter landscape and better generalization in federated learning under client-level dif- ferential privacy,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation a4bdf119-3927-46bc-822a-61f638158e02 · outbound

This paper cites Federated optimization in heterogeneous networks,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Federated optimization in heterogeneous networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation e977785a-f0c8-4895-9b8b-716b7e00e214 · outbound

This paper cites Scaffold: Stochastic controlled aver- aging for federated learning,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Scaffold: Stochastic controlled aver- aging for federated learning,

Reference 14

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Observation 64394502-af76-4718-bae3-57a1132c5687 · outbound

This paper cites Feddisco: federated learning with discrepancy-aware col- laboration,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Feddisco: federated learning with discrepancy-aware col- laboration,

Reference 15

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Observation 3f7b33ce-db37-433d-b844-dba4e4c22ab2 · outbound

This paper cites Fedawa: Adaptive optimization of aggregation weights in federated learning using client vectors,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Fedawa: Adaptive optimization of aggregation weights in federated learning using client vectors,

Reference 16

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Observation d325761f-c5ce-4401-8d30-fbb63ecd20ca · outbound

This paper cites On the spectral bias of neural networks,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity On the spectral bias of neural networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation f5d90991-4dca-4ea8-bd0c-98a49c19e0cd · outbound

This paper cites Available: https://api.semanticscholar.org/ CorpusID:53012119.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Available: https://api.semanticscholar.org/ CorpusID:53012119

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation a48fbfae-a558-4d85-aaaf-e4b502cbf30f · outbound

This paper cites Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation eb1b0c2c-4c96-4b8f-a518-eec25604c58f · outbound

This paper cites Available: https://api.semanticscholar.org/ CorpusID:58981616.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Available: https://api.semanticscholar.org/ CorpusID:58981616

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation afb8687b-eb7e-456e-b8a8-1ff194e1bd9c · outbound

This paper cites Fedpe: Adaptive model pruning-expanding for federated learning on mobile devices,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Fedpe: Adaptive model pruning-expanding for federated learning on mobile devices,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 7ca78b55-3f51-486f-afec-4e0a58934d50 · outbound

This paper cites Tackling resource- constrained and data-heterogeneity in federated learning with double-weight sparse pack,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Tackling resource- constrained and data-heterogeneity in federated learning with double-weight sparse pack,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation c926108e-d230-41df-8dfa-779777f95fe9 · outbound

This paper cites Feddc: Federated learning with non-iid data via local drift decoupling and correction,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Feddc: Federated learning with non-iid data via local drift decoupling and correction,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 0ca30fc8-012a-43ea-a840-6b88709f9dab · outbound

This paper cites Certified robustness of joint embedding,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Certified robustness of joint embedding,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 7871a335-a5c2-4a84-9e3c-e78c3f445973 · outbound

This paper cites Revisiting weighted aggregation in federated learning with neural networks,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Revisiting weighted aggregation in federated learning with neural networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation a688b972-48a8-4458-a215-ff1ff3e0aacf · outbound

This paper cites Internal cross-layer gradients for extending homogeneity to heterogeneity in federated learning,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Internal cross-layer gradients for extending homogeneity to heterogeneity in federated learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 27602f0d-5ace-487e-89a7-93640724163c · outbound

This paper cites Fft-based gradient sparsification for the distributed training of deep neural networks,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Fft-based gradient sparsification for the distributed training of deep neural networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 77cfea10-df63-422b-8301-99b96e346172 · outbound

This paper cites High-energy concentration for federated learning in frequency domain,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity High-energy concentration for federated learning in frequency domain,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation bdb85012-a032-4672-90f0-820e361f0a22 · outbound

This paper cites FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation

Reference 29

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Observation f088936f-d85e-4a4f-ab2c-7b14cbf6f643 · outbound

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

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Learning multiple layers of features from tiny images,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 7f528a87-d4e2-4aff-8df1-d6e02347e458 · outbound

This paper cites Tiny imagenet visual recognition chal- lenge,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Tiny imagenet visual recognition chal- lenge,

Reference 31

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Observation 23e70ba4-5ab8-4513-aa24-d3dd6ca5fa00 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity LEAF: A Benchmark for Federated Settings

Reference 32

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Observation be840d35-d415-4e3a-bf33-1550b0c94ce5 · outbound

This paper cites Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation e505bb3d-250f-47fa-ba0e-4573de93ba44 · outbound

This paper cites FedCM: Federated Learning with Client-level Momentum.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity FedCM: Federated Learning with Client-level Momentum

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation eb7cab63-2c8a-405b-80fe-924baad56e16 · outbound

This paper cites Improving gen- eralization in federated learning by seeking flat minima,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Improving gen- eralization in federated learning by seeking flat minima,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 2e9ffd27-8e92-4428-931a-e785e72b8c47 · outbound

This paper cites Generalized federated learning via sharpness aware minimization,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Generalized federated learning via sharpness aware minimization,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation bfa320d4-8c71-407d-a8f6-1b6c5ebce96d · outbound

This paper cites Fedlws: Federated learning with adaptive layer-wise weight shrink- ing,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Fedlws: Federated learning with adaptive layer-wise weight shrink- ing,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation efea5457-424f-433a-99f8-3458281e5b80 · outbound

This paper cites Deep residual learning for image recognition,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Deep residual learning for image recognition,

Reference 38

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Observation f2e4ab1f-af4d-4b13-adaf-9f15fda8bda9 · outbound

This paper cites Dynamic regularized sharpness aware minimization in federated learning: Approaching global consistency and smooth landscape,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Dynamic regularized sharpness aware minimization in federated learning: Approaching global consistency and smooth landscape,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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Observation 2dcae653-407c-4fe1-b952-318398915716 · outbound

This paper cites Locally estimated global perturbations are better than local perturbations for federated sharpness- aware minimization,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Locally estimated global perturbations are better than local perturbations for federated sharpness- aware minimization,

Reference 40

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Observation be07cc1e-bfed-4d1c-8611-1c835d74e481 · outbound

This paper cites Group normalization,.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Group normalization,

Reference 41

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Observation f31ec4bd-aa56-4b98-a542-e138305fa6b4 · outbound

This paper cites His research interests lie in machine learning and computer vision.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity His research interests lie in machine learning and computer vision

Reference 42

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Observation 4dc03bdb-aee8-4b76-bae6-c3f8280cbde7 · outbound

This paper cites 15 Dandan Guois currently a Professor with the School of Artificial Intelligence, Jilin University, Changchun, China.

SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity 15 Dandan Guois currently a Professor with the School of Artificial Intelligence, Jilin University, Changchun, China

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-11T21:05:03.994941Z

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