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Paper Citation Record · LEDGER

Federated Optimization in Heterogeneous Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:1812.06127.

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

pith.paper-citation-record.v1
1812.06127 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:27:52.139099Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

452
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 84da2005-9ec8-4e29-9021-caab101eb998 · inbound

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification cites this paper.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Federated Optimization in Heterogeneous Networks

Reference 22

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arxiv_id, observed 2026-05-17T17:37:07.775072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-17T17:37:07.719640Z digest=sha256:55cb0d71434a15da71302cfc5344424ab2d27a3c899c40387af5bd49c0483ca6

Observation 9dc36f0b-3ff2-4c51-ad23-6b92dfb8f5e4 · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization Federated Optimization in Heterogeneous Networks

Reference 224

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arxiv_id, observed 2026-05-21T10:30:58.837651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T10:30:58.601351Z digest=sha256:50fa845efed36ddf399b51aa514440adfe5b9b7f8018192322752e79c9b58e7c

Observation ff920be7-8c1d-41b4-92f6-0080704bdc08 · inbound

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection cites this paper.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Federated Optimization in Heterogeneous Networks

Reference 13

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no resolver link, observed 2026-08-08T18:27:52.139099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:27:52.139099Z digest=sha256:845f1b094c83e5ab5a2f6a167c32ccefe08dc71b6e08ddd62d63dfbb0adf6a11

Observation e2f8194d-f4df-4ff6-8e4a-f9178e4c369c · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Federated Optimization in Heterogeneous Networks

Reference 126

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arxiv_id, observed 2026-05-23T01:05:16.276474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:7c00cbd6a8ef9d11b94b976d6da9e46a47ecc8ade0027f47982aa506c1b9d8c6

Observation bf57dfc8-7837-4a44-b82b-fae1a78cd88d · inbound

Reliable Vertical Federated Learning in 5G Core Network Architecture cites this paper.

Reliable Vertical Federated Learning in 5G Core Network Architecture Federated Optimization in Heterogeneous Networks

Reference 6

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no resolver link, observed 2026-08-07T15:24:54.946868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:54.946868Z digest=sha256:7eb1f2b8d1981633302155cf79c25dad5eaaea300905ce349b5ad1e7a315faa4

Observation 1d809bc4-b20e-4d6e-923c-ddda69bbf5bf · inbound

FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation cites this paper.

FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation Federated Optimization in Heterogeneous Networks

Reference 38

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no resolver link, observed 2026-08-07T13:00:59.933681Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:59.933681Z digest=sha256:2408ce9907446158844f11461d49aa2cc513088a9bcc364db95d74e30ee3ed2a

Observation 148e3c95-ec75-47ba-a9f0-a07fa1352d2f · 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 Federated Optimization in Heterogeneous Networks

Reference 11

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no resolver link, observed 2026-08-07T13:58:00.158497Z

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source=pdf_text observed=2026-08-07T13:58:00.158497Z digest=sha256:18df78ac5ae6fca9bc4fb4949572e889b847c22bce8eaf8bb2f9619677035c51

Observation 6d016f27-09fc-41ee-b7c8-fdfc5de19e89 · inbound

Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study cites this paper.

Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study Federated Optimization in Heterogeneous Networks

Reference 25

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no resolver link, observed 2026-08-07T12:09:42.441475Z

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source=pdf_text observed=2026-08-07T12:09:42.441475Z digest=sha256:a099bc41eb218d1951ead4cc3bac860afe460a7ceb5cd3fb3905df43cbeb5a94

Observation 1825b4f4-56e6-4597-af4d-ef34599f65a7 · inbound

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity cites this paper.

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity Federated Optimization in Heterogeneous Networks

Reference 14

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no resolver link, observed 2026-08-07T11:16:20.859882Z

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source=pdf_text observed=2026-08-07T11:16:20.859882Z digest=sha256:77746b6fa63af4f780fce6de4056edf4c78e6e7dac5ee4b7d57112d5de9f0b38

Observation 486ca158-8651-4c8f-b270-3ba74ca47521 · inbound

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning cites this paper.

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning Federated Optimization in Heterogeneous Networks

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:52:35.739963Z digest=sha256:61840178befd67817a430d2b30c0a1e1b9a8e3357e7e7ca618d105ccbc3f4573

Observation 5818b379-b891-4631-8e1a-da09f8f83197 · inbound

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation cites this paper.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Federated Optimization in Heterogeneous Networks

Reference 17

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no resolver link, observed 2026-08-06T22:08:37.841336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:08:37.841336Z digest=sha256:b83255bd84dbb7c01b18a61de734152a7d2ef872c0cf958e27bb648f06c5a310

Observation 1048e8be-0ed4-4b73-b7b3-1fbbd43301ac · inbound

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning cites this paper.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Federated Optimization in Heterogeneous Networks

Reference 16

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no resolver link, observed 2026-08-05T18:34:15.615200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:34:15.615200Z digest=sha256:5109231a7c3e84d1e3bc34bd8957bab4621bdb10eed360b2f5bd4931ad8616af

Observation 73461cf1-0403-4934-88c5-0808127f3218 · inbound

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models cites this paper.

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models Federated Optimization in Heterogeneous Networks

Reference 35

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no resolver link, observed 2026-08-04T19:48:49.217549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:48:49.217549Z digest=sha256:b1197e36e19c9c63876708f1bd1a8d96363d8dd7eafa34dba8a5dc0a86996f45

Observation 53952225-be84-4b2a-92a7-f07169113d76 · inbound

Taming Volatility: Stable and Private QUIC Classification with Federated Learning cites this paper.

Taming Volatility: Stable and Private QUIC Classification with Federated Learning Federated Optimization in Heterogeneous Networks

Reference 12

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no resolver link, observed 2026-08-04T18:22:42.836893Z

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source=pdf_text observed=2026-08-04T18:22:42.836893Z digest=sha256:09040549a13762b8e85fe353177ac73ba5a4bb90b161a7d85d9abbc23dd5bfa9

Observation af944b10-89c8-4112-934b-abec1ef0aeea · inbound

Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning cites this paper.

Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning Federated Optimization in Heterogeneous Networks

Reference 4

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arxiv_id, observed 2026-05-18T08:31:06.792772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T08:30:08.237450Z digest=sha256:b289ae214730690e3480f5c227e6456d0460c5d9a4c989d7c6a49a48c36f3291

Observation de0ae619-6f6f-4797-bf9f-c459ae7cf95d · inbound

The Impact of Federated Learning on Distributed Remote Sensing Archives cites this paper.

The Impact of Federated Learning on Distributed Remote Sensing Archives Federated Optimization in Heterogeneous Networks

Reference 5

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arxiv_id, observed 2026-05-11T09:16:00.703160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:10:02.945855Z digest=sha256:45580b44f2c5be5566cdc0a67c9e9844381adf0a8300ea415fd8301f7314fc14

Observation 37355a42-37f3-40fa-a390-6150eb192391 · inbound

Evaluating Federated Learning approaches for mammography under breast density heterogeneity cites this paper.

Evaluating Federated Learning approaches for mammography under breast density heterogeneity Federated Optimization in Heterogeneous Networks

Reference 37

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arxiv_id, observed 2026-05-12T02:01:14.347189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T01:59:38.757943Z digest=sha256:7779bff644a1961f5a015a324227d83b4bacb685153c9ee9c47b61f407d9237c

Observation 2ef77a10-3dbc-4e23-b5a3-a8cb8caf6a10 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Federated Optimization in Heterogeneous Networks

Reference 3

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arxiv_id, observed 2026-05-21T06:13:59.725394Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T06:09:45.435627Z digest=sha256:1af7cb5384491c1fe0f6858ce1aa11ef38d35aa25f97ac96a75016c53d3a8f7f

Observation 9a0f15ea-8a46-4514-9d96-086fea625eda · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Federated Optimization in Heterogeneous Networks

Reference 3

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arxiv_id, observed 2026-05-22T10:11:22.944641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T10:10:13.980897Z digest=sha256:c44e5bbcf92cda41924fb505ec4032f5957272d1ac401bff07e1bb74f925ec7d

Observation ff2fda8f-afb6-414b-9ecf-99b23c221a25 · inbound

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT cites this paper.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Federated Optimization in Heterogeneous Networks

Reference 8

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arxiv_id, observed 2026-06-29T06:33:12.201931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:d3db93fce490ff400041618c644a2dde09f25973bc176460ff3f5596f7748302

Observation 95abccf9-064c-4f2d-83f2-f49b8f928d6a · inbound

Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries cites this paper.

Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries Federated Optimization in Heterogeneous Networks

Reference 2

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verified exact
arxiv_id, observed 2026-07-02T00:06:23.672398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T13:38:48.333498Z digest=sha256:a0c68ef6334124701825a6675919b724537e14fd90fbed86092183cb87717081

Observation 68469b73-9c74-41a4-a56e-8e29efb1a367 · inbound

TallyTrain: Communication-Efficient Federated Distillation cites this paper.

TallyTrain: Communication-Efficient Federated Distillation Federated Optimization in Heterogeneous Networks

Reference 28

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arxiv_id, observed 2026-07-02T19:47:18.790033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-02T19:44:47.733008Z digest=sha256:bff7fff280402b77dc27d3a83c84b81e7ae734839da6f545493331756832ff67

Observation 9fb74201-be08-430d-94b5-2bf8c6c332b1 · inbound

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging cites this paper.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Federated Optimization in Heterogeneous Networks

Reference 7

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no resolver link, observed 2026-07-11T21:16:48.107120Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:16:48.107120Z digest=sha256:c7a26bb5ba38962f41fd2c7c10fb82cb45097302eefbe29700545482f0babdb2

Observation 29f55cac-667c-46f4-b24f-9f290d5a4796 · inbound

FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering cites this paper.

FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering Federated Optimization in Heterogeneous Networks

Reference 12

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source=pdf_text observed=2026-07-11T21:13:04.339445Z digest=sha256:4147714d5db972616b78cfbb9391cc69ec39c68f03f3e30d71ed809cec9d86e5

Observation 30db0ea8-885a-4f37-b116-cfe958aa2877 · inbound

Federated Lightweight Fine-Tuning cites this paper.

Federated Lightweight Fine-Tuning Federated Optimization in Heterogeneous Networks

Reference 16

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source=pdf_text observed=2026-08-01T17:36:04.704071Z digest=sha256:d8035f35b57c2c88e521c8205a11f1327ddaab2d7f2e58f764c93e5d78fd1d6f