Paper Citation Record · LEDGER

Federated Optimization: Distributed Machine Learning for On-Device Intelligence

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:1610.02527.

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

pith.paper-citation-record.v1
1610.02527 v1

Coverage vector

measured 0 of 0 reference resolution

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measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:06:26.267609Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation 1b504d95-215b-4972-a935-26d2195de226 · inbound

Federated Learning: Strategies for Improving Communication Efficiency cites this paper.

Federated Learning: Strategies for Improving Communication Efficiency Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:42:53.048359Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f2f6c20-b450-421a-8a4c-9aaa4f2320aa · inbound

Active Learning Solution on Distributed Edge Computing cites this paper.

Active Learning Solution on Distributed Edge Computing Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T15:51:00.206347Z

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Observation c144b0f5-0839-4f86-8bff-b3e7d38f84b5 · inbound

Semantic-Effectiveness Filtering and Control for Post-5G Wireless Connectivity cites this paper.

Semantic-Effectiveness Filtering and Control for Post-5G Wireless Connectivity Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:45:32.723470Z

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Observation 495d7c4f-3d4f-4a84-9f71-238455f015b3 · inbound

Federated Learning with Nonvacuous Generalisation Bounds cites this paper.

Federated Learning with Nonvacuous Generalisation Bounds Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T06:14:00.157743Z

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Observation ee6379da-19f6-412f-b407-5f81552068df · inbound

FedOptima: Optimizing Resource Utilization in Federated Learning cites this paper.

FedOptima: Optimizing Resource Utilization in Federated Learning Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-23T00:02:17.905686Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2257f361-45b7-4c7e-a76d-086abe05f692 · 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 Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-04T21:06:26.267609Z

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Observation 5608f015-560d-450f-995e-80d6f90f665e · inbound

Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning cites this paper.

Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T17:49:57.164337Z

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Observation 17b69ee5-80ed-4687-86e4-dc471c4f6c8c · inbound

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling cites this paper.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T22:11:51.459893Z

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Observation 1936976f-2282-402f-a71a-4c55cbab2e5c · inbound

Multi-user Pufferfish Privacy cites this paper.

Multi-user Pufferfish Privacy Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-16T20:51:15.308452Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 49cb6295-fa4e-4c68-be3f-2a5cecb592eb · inbound

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning cites this paper.

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:00:10.301857Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5584b41b-7b9e-4cf7-aeed-97e270bfb265 · inbound

A Survey on AI for 6G: Challenges and Opportunities cites this paper.

A Survey on AI for 6G: Challenges and Opportunities Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:23:37.741236Z

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Observation 7e897fea-59fb-4888-b2fc-c6a54075f132 · inbound

AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection cites this paper.

AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-13T13:49:06.254588Z

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Observation 0151fa59-4c93-4d0d-b13b-abc6f8bb1d4d · inbound

AICCE: AI Driven Compliance Checker Engine cites this paper.

AICCE: AI Driven Compliance Checker Engine Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:16.202325Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 438cde5e-d999-4042-925c-9d5d5906435b · inbound

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers cites this paper.

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:40:59.808020Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 468df1b4-546d-4365-b41c-7f2455a691d9 · inbound

Byzantine-Robust Distributed SGD: A Unified Analysis and Tight Error Bounds cites this paper.

Byzantine-Robust Distributed SGD: A Unified Analysis and Tight Error Bounds Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:55:59.875191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e37859c8-8928-4bc9-abac-b2a7d3cb8123 · inbound

Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation cites this paper.

Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T22:50:35.544981Z

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Observation 2dae481a-154d-422c-afc1-9769c01b221f · inbound

Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases cites this paper.

Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:01:25.663055Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 585df225-e8ce-4487-844b-497ed61b905c · inbound

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey cites this paper.

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:30.476373Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac7caba0-4319-488e-b9e5-f58750e5a0a2 · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 220

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:45:59.666535Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c44e17da-9296-4e2d-88b7-5eb5f4ea00c9 · 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 Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 141

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:51:32.303353Z

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Observation 2b389899-efff-49df-9833-8c023720af91 · 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: Distributed Machine Learning for On-Device Intelligence

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:01:15.122832Z

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Observation a9063aef-1cf0-4dcb-9143-8ba1ba62bb16 · 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 Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 252

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T19:32:52.220789Z

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Observation a887bf19-9b01-4cc0-9f5f-d1c61fb41c02 · inbound

Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models cites this paper.

Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T01:07:54.782456Z

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Observation 7246c98f-db38-4a57-918d-a8b868e6c53c · inbound

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

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 143

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T13:13:18.529424Z

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Observation 8b1897f1-27b4-48e3-97a8-f4df72f8d554 · 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 Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 145

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:49:40.655334Z

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Observation 06eeb124-acf4-4bff-96c6-06ab8b40707b · inbound

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

Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:43:58.947375Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79492579-ccbf-4700-b297-951f95e7f616 · inbound

Rethinking Federated Unlearning via the Lens of Memorization cites this paper.

Rethinking Federated Unlearning via the Lens of Memorization Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T14:44:44.695460Z

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Observation 1ef754b2-1653-4939-8e59-a1722f27a840 · inbound

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks cites this paper.

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-06-29T23:14:02.124697Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52076db6-b98e-410a-994a-dc18e512f0f8 · inbound

Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation cites this paper.

Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:07:27.016024Z

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Observation 56126b63-177e-4493-871d-e4e358de31b9 · inbound

SILAGE: Memory-Efficient, Full-Gradient-Free Nonconvex Optimization for Nested Finite Sums cites this paper.

SILAGE: Memory-Efficient, Full-Gradient-Free Nonconvex Optimization for Nested Finite Sums Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-03T17:48:46.074955Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff6b6334-0338-4535-bf7e-bbe6410cb6a6 · inbound

HADES: Privacy-Preserving Federated Learning via Selective Feature Encryption and Hybrid Model Fusion cites this paper.

HADES: Privacy-Preserving Federated Learning via Selective Feature Encryption and Hybrid Model Fusion Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:50.191425Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27a838a1-4d41-44be-96a1-ba244ab1c5b2 · inbound

Efficient Network Inference via Hardware-Aware Architecture Search, Model Pruning & Quantization cites this paper.

Efficient Network Inference via Hardware-Aware Architecture Search, Model Pruning & Quantization Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:49:44.486358Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a2530948-5899-4129-8fd5-0f54c19d9a5d · inbound

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 129

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T16:44:56.414210Z

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Observation dd942ad5-ff8e-4c81-bab4-794140f86d92 · inbound

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms cites this paper.

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 294

Resolution: unresolved; no resolver link, observed 2026-07-12T07:46:03.995262Z

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Observation 97f94abd-fdf7-453a-8548-ef2e4af8aa73 · inbound

Robust Federated Learning Under Real-World Client Churn cites this paper.

Robust Federated Learning Under Real-World Client Churn Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:36:36.200127Z

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Observation db691294-213e-4c68-aaf3-b69fb899ca79 · inbound

Federated Learning Architecture: Data Privacy and System Security Approaches cites this paper.

Federated Learning Architecture: Data Privacy and System Security Approaches Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T03:22:21.785297Z

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Unavailable: canonical work link unavailable.

Observation 45fe2d71-1b29-4dff-8849-f1b1ccb246a8 · inbound

Joint Channel Estimation and Dynamics-Aware Grouping for Time-Varying RIS-Assisted OTA Federated Learning cites this paper.

Joint Channel Estimation and Dynamics-Aware Grouping for Time-Varying RIS-Assisted OTA Federated Learning Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T18:53:31.893496Z

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Unavailable: canonical work link unavailable.