Paper Citation Record · LEDGER

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:1811.11479.

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

pith.paper-citation-record.v1
1811.11479 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 37 of 37 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 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:05:22.233663Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:47:05.783646Z

Reference resolution

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Outbound references

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Pith citing papers

Observation 57dad674-1321-4a42-be32-5116850ee09c · inbound

Multi-hop Federated Private Data Augmentation with Sample Compression cites this paper.

Multi-hop Federated Private Data Augmentation with Sample Compression Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-24T21:34:58.563298Z

Source-reported events for the cited work

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Observation 59972448-c16b-4c36-a6be-552c84bc9443 · inbound

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs cites this paper.

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 6

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Observation 9d4068a9-d181-49c1-9007-59a6408ccec1 · inbound

Federated Learning: Challenges, Methods, and Future Directions cites this paper.

Federated Learning: Challenges, Methods, and Future Directions Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 55

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Observation 0cd5bd57-2b38-432e-bb08-5391c7c971ff · inbound

GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning cites this paper.

GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 31

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Observation cc643394-e5f7-4770-b443-10d5148582c7 · inbound

Hierarchical Federated Learning Across Heterogeneous Cellular Networks cites this paper.

Hierarchical Federated Learning Across Heterogeneous Cellular Networks Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 31

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Observation 7025a979-a21d-447c-ae23-f9f735a3b413 · inbound

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions cites this paper.

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:48:39.234168Z

Source-reported events for the cited work

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Observation a2db0012-6ecd-4e4d-b8b8-f4e16ecb5df8 · inbound

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning cites this paper.

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 17

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Observation 515eaa46-ea2a-40d1-a427-b3c74e7e3950 · inbound

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps cites this paper.

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 7

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Observation 1d8e8aa1-a064-42ba-a00c-97d3ddf7372f · inbound

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence cites this paper.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 1994

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Observation 545b6dea-e88d-43f3-ac26-edad4c4e9304 · inbound

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction cites this paper.

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:55.011873Z

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Observation 92fd38cf-6914-4a8d-bd81-4da74e975c63 · inbound

GeFL: Model-Agnostic Federated Learning with Generative Models cites this paper.

GeFL: Model-Agnostic Federated Learning with Generative Models Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 30

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Observation d29ebc31-a870-4d8c-bf97-c1d63e386ac5 · inbound

FedEFM: Federated Endovascular Foundation Model with Unseen Data cites this paper.

FedEFM: Federated Endovascular Foundation Model with Unseen Data Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 41

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Observation d58d0d6a-f7fd-4e9e-8650-275b694533ac · inbound

Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation cites this paper.

Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 15

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Observation 28f2e1f2-24a9-4eca-93a1-74d286e21dfa · inbound

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning cites this paper.

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:52:17.080410Z

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.

Observation c0120d1e-7d17-4a9c-9460-5f06b0168627 · inbound

Federated Learning-Distillation Alternation for Resource-Constrained IoT cites this paper.

Federated Learning-Distillation Alternation for Resource-Constrained IoT Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 6

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Observation 750a6a78-6ecb-4874-9f4a-fc33311c5eda · inbound

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms cites this paper.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:19.876667Z

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Observation 0b8568c3-6b62-4d74-b31e-1f426c76f394 · inbound

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark cites this paper.

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:14.942600Z

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Observation 45e27e4e-f956-41e0-9e92-1fabf91a6f1b · inbound

Heterogeneous Federated Learning with Prototype Alignment and Upscaling cites this paper.

Heterogeneous Federated Learning with Prototype Alignment and Upscaling Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:55:03.028693Z

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Observation edc44092-28c0-4a53-9df2-8b9a18b18023 · inbound

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments cites this paper.

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 6

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Observation 1e2c4326-1155-4dd4-9f5b-c7827394369c · inbound

Federated Learning for Commercial Image Sources cites this paper.

Federated Learning for Commercial Image Sources Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 19

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Observation d746a556-ab09-4100-bb4d-5153c82c2f31 · inbound

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios cites this paper.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:06.343661Z

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Observation 0a163c12-c140-45b2-8060-d1d077f74a34 · inbound

Hypernetworks for Model-Heterogeneous Personalized Federated Learning cites this paper.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.693430Z

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Observation 870700c4-30df-4f04-9812-7e90cd9fe9c1 · inbound

Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data cites this paper.

Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:50:43.397508Z

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

Observation 87d77ec5-fca7-492a-ae51-87f5cce41820 · inbound

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization cites this paper.

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 18

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Observation 9a6de2a1-2fd0-4b17-84f6-656c31b44031 · inbound

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR cites this paper.

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:21:00.241050Z

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

Observation 3da5c2bf-432a-4fde-9e23-51e28cf9d142 · inbound

Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions cites this paper.

Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 254

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:14.496645Z

Source-reported events for the cited work

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Observation 11ec65ad-226d-44f0-b9c8-2886c262a356 · inbound

From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning cites this paper.

From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:51:10.805941Z

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.

Observation 831a189d-dac8-42a5-89be-7f2834954a26 · inbound

Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective cites this paper.

Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:36:26.905080Z

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.

Observation 63c65752-22a6-4a69-9c7b-de9e58a0807d · inbound

BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring cites this paper.

BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:14:52.971343Z

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

Observation 04ef7cc5-2750-419d-a2de-88c9b73e4c8d · inbound

Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search cites this paper.

Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:43:58.939584Z

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

Observation b96938fe-ee04-4ea2-9cc1-4826b09cd64b · inbound

Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning cites this paper.

Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:07:25.940852Z

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

Observation 98ef66db-9763-4df8-b16e-73fb563d6c59 · inbound

TallyTrain: Communication-Efficient Federated Distillation cites this paper.

TallyTrain: Communication-Efficient Federated Distillation Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:47:18.767585Z

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

Observation fefda524-793f-4f49-8581-5b62d5416855 · inbound

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems cites this paper.

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-10T13:47:05.785104Z

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

Observation 9cdfe907-ee16-4470-b7d9-26262654d21b · inbound

FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning cites this paper.

FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-30T20:41:07.568618Z

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Observation 32ff3b5c-537e-4ed7-bea4-7fb6f371ddcb · inbound

Mixture-of-Translators: Translating KV Caches Across Heterogeneous Large Language Models cites this paper.

Mixture-of-Translators: Translating KV Caches Across Heterogeneous Large Language Models Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T16:13:25.660212Z

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Observation 2b47df93-c8de-4c14-89cc-31897d78632b · inbound

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity cites this paper.

FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T05:16:37.244819Z

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Observation 415691c4-c757-4e5d-99fc-59cb7fbc35f3 · inbound

EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models cites this paper.

EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:36.098395Z

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