Paper Citation Record · LEDGER

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:1712.01887.

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

pith.paper-citation-record.v1
1712.01887 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:58:55.184891Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

647
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5ed08ba6-1cac-4046-8539-77ed97a21f69 · inbound

Federated Learning with Non-IID Data cites this paper.

Federated Learning with Non-IID Data Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:22:06.497747Z

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Observation cec23e4e-a5ec-468b-a1ef-24a81b36cc77 · inbound

Recent Advances in Deep Learning for Object Detection cites this paper.

Recent Advances in Deep Learning for Object Detection Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-14T14:08:44.259306Z

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Observation 0b30077a-2717-4bd8-83e4-21cf3772c139 · inbound

Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training cites this paper.

Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:16:06.455602Z

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Observation cd3dde52-7b2a-409d-aa56-34e5ba7b7931 · inbound

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training cites this paper.

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 28

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Observation 42347ea1-afe5-42e5-98c6-dfe36892bbce · inbound

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation cites this paper.

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T10:21:35.691985Z

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Observation 03d3c6f0-2037-46a4-8a21-aa73d6109528 · inbound

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction cites this paper.

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:35.053063Z

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Observation 37201c48-22da-4c05-ab9d-9fa16b5750bc · inbound

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch cites this paper.

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 27

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Observation 6ddfb64d-eaf0-4243-93af-79fef21a54a4 · inbound

E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing cites this paper.

E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 16

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Observation ddd575dc-c3f1-4931-9dbc-870bd0949c09 · inbound

Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques cites this paper.

Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 2024

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Observation 08c8de30-94ba-41a7-9005-06b0d67809e2 · inbound

Memory-Efficient Distributed Unlearning cites this paper.

Memory-Efficient Distributed Unlearning Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 29

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Observation f16f335e-27c7-498f-b289-ee8e36b2f8a3 · inbound

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates cites this paper.

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:29.643250Z

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Observation 4a138edc-3637-4bdd-b3e3-05fe24fe21bf · inbound

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks cites this paper.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 13

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Observation 769d2595-d9d7-4fc0-8ca2-daec7d6b5789 · inbound

Memory-Efficient FastText: A Comprehensive Approach Using Double-Array Trie Structures and Mark-Compact Memory Management cites this paper.

Memory-Efficient FastText: A Comprehensive Approach Using Double-Array Trie Structures and Mark-Compact Memory Management Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 6

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Observation e8cf2029-b266-4302-bfb0-99f8904247e0 · inbound

Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism cites this paper.

Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:14.033583Z

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Observation 4c6b1992-403b-47f4-84e0-615b580da0ed · inbound

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle cites this paper.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:16.704750Z

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Observation 61fb8007-abab-4ea0-83c4-e04b85979771 · inbound

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation cites this paper.

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:16.512825Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0aebcd5-0bc1-4205-82bf-f4f2654d1306 · inbound

Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data cites this paper.

Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 15

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Observation c014e535-acdb-47cc-ab10-f7294873730f · inbound

Distributed Training under Packet Loss cites this paper.

Distributed Training under Packet Loss Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 9

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Observation 24b9d6d5-9bf0-416b-92fd-a0f0f37e0975 · inbound

Federated Split Learning with Improved Communication and Storage Efficiency cites this paper.

Federated Split Learning with Improved Communication and Storage Efficiency Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:31.685541Z

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Observation c6870054-96e4-480e-98d4-870bec6528c9 · inbound

Caching Techniques for Reducing the Communication Cost of Federated Learning in IoT Environments cites this paper.

Caching Techniques for Reducing the Communication Cost of Federated Learning in IoT Environments Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:07.994037Z

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Observation 2a419403-8544-49a7-837c-028c121386b3 · inbound

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling cites this paper.

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:11:46.558528Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fd12059-a8be-43c1-b2c4-3f461ff46945 · inbound

Sketched Gaussian Mechanism for Private Federated Learning cites this paper.

Sketched Gaussian Mechanism for Private Federated Learning Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.601296Z

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Observation 2f54f043-1329-4539-904d-01e09994e0d7 · inbound

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 144

Resolution: unresolved; no resolver link, observed 2026-08-04T21:06:26.340168Z

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Observation 2c895bdd-976a-4ab3-96ac-d9ee8f467488 · inbound

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks cites this paper.

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:00:46.985742Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c717c70-dee4-4a97-810b-9f2badc4d26a · inbound

FedSQ: Optimized Weight Averaging via Fixed Gating cites this paper.

FedSQ: Optimized Weight Averaging via Fixed Gating Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:13:13.960049Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 495a2f1d-f61c-4930-9216-a27bff2fd72d · inbound

Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer cites this paper.

Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:31.262749Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 222dd35b-1a7d-4f93-a5ff-96c1f3c2fcc6 · inbound

Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy cites this paper.

Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:09.408534Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82eb6d58-002b-44cf-a019-9762026b7011 · inbound

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training cites this paper.

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:06:20.759902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0db4bf4-94bd-413b-94dc-b2210d1e86c6 · inbound

DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training cites this paper.

DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.197048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 746e95e0-8e91-47c3-898b-6b5846bb411f · inbound

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits cites this paper.

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:05:54.764286Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f590372f-405a-47e7-97b4-3058cb53c6db · inbound

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction cites this paper.

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 160

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:51:30.623392Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00d97344-f878-4bc3-bd73-1645f62d08a5 · inbound

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity cites this paper.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 267

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:32:52.048733Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57808c18-8948-40d3-8ee5-ae66e5ad0eae · inbound

SignMuon: Communication-Efficient Distributed Muon Optimization cites this paper.

SignMuon: Communication-Efficient Distributed Muon Optimization Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:49:15.245026Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3ad827c-57de-4c76-807a-02a00c30f0b2 · inbound

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method cites this paper.

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 162

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:13:18.463265Z

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Observation 76a53691-91c3-4410-b383-fe17a28379da · inbound

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging cites this paper.

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 164

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:49:40.574766Z

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Observation 493599fb-7080-4da8-a202-15fd88e5836c · inbound

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics cites this paper.

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 102

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T08:11:17.506023Z

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Observation dc1949e0-241e-407c-baab-90b9320b6201 · inbound

Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security cites this paper.

Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:49:50.880600Z

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Observation f9a84408-9d1e-4a9f-9db6-ab99da4f5d8b · inbound

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication cites this paper.

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:46.567641Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2d0a988-d809-4a31-a29e-4b8125460c84 · inbound

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms cites this paper.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T15:21:14.811340Z

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Observation cd1c83f9-abf0-49e7-af9b-d7af0fb478c3 · inbound

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining cites this paper.

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T09:16:06.510183Z

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Observation 7f6dd9ff-fd3c-4ea7-96ba-db17f07b05f4 · inbound

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation cites this paper.

QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T09:16:47.330488Z

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Unavailable: canonical work link unavailable.