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Paper Citation Record · LEDGER

Lossy Compression for Sparse Aggregation

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2606.30425.

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

pith.paper-citation-record.v1
2606.30425 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T03:30:14.064467Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

44 of 44 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d7bf452-8265-44ee-aab0-58671b848e94 · outbound

This paper cites Federated learning with local differential privacy: Trade-offs between privacy, utility, and communication,.

Lossy Compression for Sparse Aggregation Federated learning with local differential privacy: Trade-offs between privacy, utility, and communication,

Reference 1

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Observation 24f91842-ae91-4d68-8101-e3168515e2f6 · outbound

This paper cites Advances and open problems in federated learning,.

Lossy Compression for Sparse Aggregation Advances and open problems in federated learning,

Reference 2

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Observation d1d3ccc0-b6e0-4e2c-9b40-d1f742894ff0 · outbound

This paper cites Eden: Communication-efficient and robust distributed mean estimation for federated learning,.

Lossy Compression for Sparse Aggregation Eden: Communication-efficient and robust distributed mean estimation for federated learning,

Reference 3

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Observation ba3eb648-c09c-4b10-9a5d-09e021c710f1 · outbound

This paper cites vqsgd: Vector quantized stochastic gradient descent,.

Lossy Compression for Sparse Aggregation vqsgd: Vector quantized stochastic gradient descent,

Reference 4

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Observation 6aef5e80-ac61-45b7-bad2-8002241c037f · outbound

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

Lossy Compression for Sparse Aggregation Communication-efficient learning of deep networks from decentralized data,

Reference 5

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Observation f3c73244-5349-435b-b101-a281b0d5614c · outbound

This paper cites Diat: A scalable distributed architecture for iot,.

Lossy Compression for Sparse Aggregation Diat: A scalable distributed architecture for iot,

Reference 6

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Observation dbde1e11-8e94-4a99-91f0-72ca38bd41df · outbound

This paper cites Scalable distributed DNN training using commodity GPU cloud computing,.

Lossy Compression for Sparse Aggregation Scalable distributed DNN training using commodity GPU cloud computing,

Reference 7

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Observation ba238ac7-235f-4936-9156-c1cb0f22fea8 · outbound

This paper cites Sparse communication for distributed gradient descent,.

Lossy Compression for Sparse Aggregation Sparse communication for distributed gradient descent,

Reference 8

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Observation 17ff7e5d-3885-4073-bd74-0e9f8486564e · outbound

This paper cites Sparse binary compression: Towards distributed deep learning with minimal communication,.

Lossy Compression for Sparse Aggregation Sparse binary compression: Towards distributed deep learning with minimal communication,

Reference 9

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Observation 108c5631-09db-4df0-8f71-fda20a5ea8be · outbound

This paper cites Communication-efficient federated learning based on compressed sensing,.

Lossy Compression for Sparse Aggregation Communication-efficient federated learning based on compressed sensing,

Reference 10

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Observation b7482f66-a2db-45f0-b396-e7823525f7e4 · outbound

This paper cites Fetchsgd: Communication-efficient federated learning with sketching,.

Lossy Compression for Sparse Aggregation Fetchsgd: Communication-efficient federated learning with sketching,

Reference 11

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Observation 994d395c-a74f-4d8b-92e5-a68841245bc5 · outbound

This paper cites Variance-based Gradient Compression for Efficient Distributed Deep Learning.

Lossy Compression for Sparse Aggregation Variance-based Gradient Compression for Efficient Distributed Deep Learning

Reference 12

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Observation 401023f9-0d1f-4280-a232-7df094b19aa2 · outbound

This paper cites Federated learning over wireless fading channels,.

Lossy Compression for Sparse Aggregation Federated learning over wireless fading channels,

Reference 13

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Observation c77a2689-2e07-4609-b212-54dfb8f14135 · outbound

This paper cites Secure Federated Submodel Learning.

Lossy Compression for Sparse Aggregation Secure Federated Submodel Learning

Reference 14

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Observation f7dbd8a1-e414-401c-9579-5e27832eb23f · outbound

This paper cites Deepreduce: A sparse-tensor communication framework for federated deep learning,.

Lossy Compression for Sparse Aggregation Deepreduce: A sparse-tensor communication framework for federated deep learning,

Reference 15

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Observation eb19fe0b-2d0f-4141-9027-ecd1573b389f · outbound

This paper cites Communication complexity in locally private distribution estimation and heavy hitters,.

Lossy Compression for Sparse Aggregation Communication complexity in locally private distribution estimation and heavy hitters,

Reference 16

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Observation 67238c1f-e8df-4662-95ec-0f12ea655e9b · outbound

This paper cites Locally differentially private sparse vector aggregation,.

Lossy Compression for Sparse Aggregation Locally differentially private sparse vector aggregation,

Reference 17

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Observation da01175f-a65b-4977-8d2e-017bfcffdc56 · outbound

This paper cites The communication cost of security and privacy in federated frequency estimation,.

Lossy Compression for Sparse Aggregation The communication cost of security and privacy in federated frequency estimation,

Reference 18

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Observation 7ed3b660-c689-42c7-b600-5e06123f1544 · outbound

This paper cites Noiseless coding of correlated information sources,.

Lossy Compression for Sparse Aggregation Noiseless coding of correlated information sources,

Reference 19

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Observation ad9d934e-30bc-4cb6-90d9-44db2147ff50 · outbound

This paper cites Information-theoretic lower bounds for distributed statistical estimation with communication constraints,.

Lossy Compression for Sparse Aggregation Information-theoretic lower bounds for distributed statistical estimation with communication constraints,

Reference 20

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Observation 9670f905-fec1-4b56-91d2-17d59559dbc1 · outbound

This paper cites Mean estimation from one-bit measurements,.

Lossy Compression for Sparse Aggregation Mean estimation from one-bit measurements,

Reference 21

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Observation 9cc300ed-428c-465f-8223-127e2735d240 · outbound

This paper cites Distributed statistical estimation of high-dimensional and nonparametric distributions with communication constraints, february 2018,.

Lossy Compression for Sparse Aggregation Distributed statistical estimation of high-dimensional and nonparametric distributions with communication constraints, february 2018,

Reference 22

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Observation da697669-da3e-4281-948c-631ab468eccc · outbound

This paper cites Inference under information constraints ii: Communication constraints and shared randomness,.

Lossy Compression for Sparse Aggregation Inference under information constraints ii: Communication constraints and shared randomness,

Reference 23

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Observation 5bff747b-bb98-40d6-82ee-a6fb41a9cbbd · outbound

This paper cites Collaborative learning of discrete distributions under heterogeneity and communication constraints,.

Lossy Compression for Sparse Aggregation Collaborative learning of discrete distributions under heterogeneity and communication constraints,

Reference 24

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Observation e08db690-c4fa-48e2-b3de-f626573d9e29 · outbound

This paper cites Optimal Private Discrete Distribution Estimation with One-bit Communication.

Lossy Compression for Sparse Aggregation Optimal Private Discrete Distribution Estimation with One-bit Communication

Reference 25

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Observation eaa2e287-a593-48ee-a8db-d50f12a80459 · outbound

This paper cites Breaking the communication-privacy-accuracy trilemma,.

Lossy Compression for Sparse Aggregation Breaking the communication-privacy-accuracy trilemma,

Reference 26

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Observation 7db6fb97-673b-4bf1-809d-a2d9418a4d1c · outbound

This paper cites Exact optimality of communication-privacy-utility tradeoffs in distributed mean estimation,.

Lossy Compression for Sparse Aggregation Exact optimality of communication-privacy-utility tradeoffs in distributed mean estimation,

Reference 27

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Observation 53d6271b-de75-4d09-afe2-38bb0568ac73 · outbound

This paper cites Distributed mean estimation with limited communication,.

Lossy Compression for Sparse Aggregation Distributed mean estimation with limited communication,

Reference 28

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Observation 8a7b5eb2-946d-4649-8c50-7eb415c38bd6 · outbound

This paper cites Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization,.

Lossy Compression for Sparse Aggregation Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization,

Reference 29

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Observation 2be6ed1c-980d-46b1-95d7-03bb5b86cad3 · outbound

This paper cites Federated learning with compression: Unified analysis and sharp guarantees,.

Lossy Compression for Sparse Aggregation Federated learning with compression: Unified analysis and sharp guarantees,

Reference 30

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Observation fcccd0e6-2e3d-4fa0-bb17-23fd3e523367 · outbound

This paper cites Correlated quantization for distributed mean estimation and optimization,.

Lossy Compression for Sparse Aggregation Correlated quantization for distributed mean estimation and optimization,

Reference 31

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Observation a6eac74f-30a0-4195-b0f8-f85f40803ef0 · outbound

This paper cites Finding frequent items in data streams,.

Lossy Compression for Sparse Aggregation Finding frequent items in data streams,

Reference 32

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Observation 1e25e4a9-c035-4e2d-98ad-d2be84d9f978 · outbound

This paper cites An improved data stream summary: the count-min sketch and its applications,.

Lossy Compression for Sparse Aggregation An improved data stream summary: the count-min sketch and its applications,

Reference 33

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Observation 2bfc33d9-0194-4023-afe0-5f640d7d9f33 · outbound

This paper cites Enhancing the Privacy of Federated Learning with Sketching.

Lossy Compression for Sparse Aggregation Enhancing the Privacy of Federated Learning with Sketching

Reference 34

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Observation f1efd30b-26d2-47db-af25-92e11b313d47 · outbound

This paper cites On finite alphabet compressive sensing,.

Lossy Compression for Sparse Aggregation On finite alphabet compressive sensing,

Reference 35

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Observation c8c341d2-8139-4915-9071-98b272ddebd0 · outbound

This paper cites Machine unlearning of federated clusters,.

Lossy Compression for Sparse Aggregation Machine unlearning of federated clusters,

Reference 36

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Observation f0d6fcfe-dfcb-47ab-a29f-675d9bdfbfe5 · outbound

This paper cites Model compression by count-sketch for over-the-air stateless federated learning,.

Lossy Compression for Sparse Aggregation Model compression by count-sketch for over-the-air stateless federated learning,

Reference 37

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Observation 7078a5c2-be8a-4a39-bf63-d50d0e3d1a2c · outbound

This paper cites Private multi-group aggregation,.

Lossy Compression for Sparse Aggregation Private multi-group aggregation,

Reference 38

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Observation 6f21ab0d-de78-4923-a6cb-fa9b25fd5d05 · outbound

This paper cites A general class of coefficients of divergence of one distribution from another,.

Lossy Compression for Sparse Aggregation A general class of coefficients of divergence of one distribution from another,

Reference 39

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This paper cites On information-type measure of difference of probability distributions and indirect observations,.

Lossy Compression for Sparse Aggregation On information-type measure of difference of probability distributions and indirect observations,

Reference 40

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Observation 854bafa9-1246-46e7-8de5-f9370452d346 · outbound

This paper cites f-divergences and their applications in lossy compression and bounding generalization error,.

Lossy Compression for Sparse Aggregation f-divergences and their applications in lossy compression and bounding generalization error,

Reference 41

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Observation 41efe990-c53e-4187-b15b-920c99f21861 · outbound

This paper cites An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation.

Lossy Compression for Sparse Aggregation An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 42

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Observation 2fa06478-dff6-4499-9249-15e58eaeb578 · outbound

This paper cites R ´enyi divergence and kullback-leibler divergence,.

Lossy Compression for Sparse Aggregation R ´enyi divergence and kullback-leibler divergence,

Reference 43

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Observation 230a3354-6b58-422a-9b8b-ddfa787090e8 · outbound

This paper cites an unresolved cited work.

Lossy Compression for Sparse Aggregation Unresolved cited work

Reference 44

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