Paper Citation Record · LEDGER

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 100 inbound Pith citation observations for arXiv:1909.06335.

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

pith.paper-citation-record.v1
1909.06335 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T17:37:07.719640Z

measured 120 of 120 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 100 of 144 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:23.226231Z

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

20 of 20 outbound references displayed

verified exact3
verified fuzzy12
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

641
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a5f4e4b5-a674-468c-8cc3-047014e58a4c · outbound

This paper cites Learning multiple layers of features from tiny images.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Learning multiple layers of features from tiny images

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.798280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 384a126a-dcfd-4585-adbb-4d588cdf2c42 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification On the Convergence of FedAvg on Non-IID Data

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.759024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 739c43c8-ae7f-4515-8567-4ebed4d76b59 · outbound

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

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Communication-efficient learning of deep networks from decentralized data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.821397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c254631f-0659-49fb-9a50-b1286d49d6e9 · outbound

This paper cites Gradient methods for minimizing composite objective function.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Gradient methods for minimizing composite objective function

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.824321Z

Source-reported events for the cited work

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Observation b87c77c7-78cd-4f3a-96dd-e1582e3a4637 · outbound

This paper cites Advanced convolutional neural networks.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Advanced convolutional neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.827278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da84879a-14a4-4127-adec-ea872ad63990 · outbound

This paper cites Bayesian nonparametric federated learning of neural networks.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Bayesian nonparametric federated learning of neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.830355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dafe5bfb-b23e-4aef-a5a2-729b595fa934 · outbound

This paper cites Federated Learning with Non-IID Data.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Federated Learning with Non-IID Data

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-17T17:37:07.786788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bac159f0-a447-49a7-a3ec-e4916770d1b5 · outbound

This paper cites 2009 , institution=.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification 2009 , institution=

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.833464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9e6e7aaa-3ffb-483c-a585-2c53d5579084 · outbound

This paper cites Federated learning with non-.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Federated learning with non-

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.836662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b882aa9-db78-4440-a3cc-bc09e19ca387 · outbound

This paper cites Robust and Communication-Efficient Federated Learning from Non-IID Data.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Robust and Communication-Efficient Federated Learning from Non-IID Data

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-17T17:37:07.750801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47f3419b-6884-45d7-940f-45064d165621 · outbound

This paper cites Artificial Intelligence and Statistics , pages=.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Artificial Intelligence and Statistics , pages=

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.818460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fdfe475e-8ec5-41ef-b10a-96abefbb6fa0 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification LEAF: A Benchmark for Federated Settings

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T17:37:07.781054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 536fbbfc-869b-4a70-9f49-33e406fc4683 · outbound

This paper cites International Conference on Machine Learning , pages=.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification International Conference on Machine Learning , pages=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.802255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9681481c-4ba0-4096-8b73-dffbec9a5530 · outbound

This paper cites International Conference on Machine Learning , pages=.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification International Conference on Machine Learning , pages=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.806251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b5912ca-ce43-41cf-958b-24e19cbcc506 · outbound

This paper cites an unresolved cited work.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-17T17:37:07.809574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18c7010e-f418-48c2-99ab-756ad1d4fadb · outbound

This paper cites Measuring the Effects of Data Parallelism on Neural Network Training.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Measuring the Effects of Data Parallelism on Neural Network Training

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T17:37:07.768937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

This paper cites Federated Optimization in Heterogeneous Networks.

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

Reference 22

Resolution: metadata mismatch; 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 2026-08-19T06:32:44.657259+00:00.

Observation 1d741393-18de-496d-be52-325654bd9983 · outbound

This paper cites On the Convergence of.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification On the Convergence of

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.812463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 799d6866-c6a1-4e39-84a4-4b1d84986692 · outbound

This paper cites International Conference on Machine Learning , pages=.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification International Conference on Machine Learning , pages=

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T17:37:07.815408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5c7b994-1828-4af0-b438-462177e50788 · outbound

This paper cites EMNIST: an extension of MNIST to handwritten letters.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification EMNIST: an extension of MNIST to handwritten letters

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T17:37:07.792750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 64b09133-1719-4c71-9029-2217613c0f18 · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 216

Resolution: verified exact; local_arxiv, observed 2026-05-21T10:30:58.807939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec6588e6-5382-4d9f-bcb7-ad83efd1052c · inbound

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher cites this paper.

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:53:29.926737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b07b35c-8576-4c20-9451-90f46f6f2930 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T20:58:26.256678Z

Source-reported events for the cited work

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Observation 65ddc8cc-f240-455d-99a0-77876ff33de0 · inbound

FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning cites this paper.

FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 15

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Observation 512658cb-96b2-4714-867e-f59e5780f1ab · inbound

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning cites this paper.

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:58:17.174445Z

Source-reported events for the cited work

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Observation 23852076-ae8a-4e08-b41b-c777bf4148d8 · inbound

FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data cites this paper.

FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 12

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Observation d6965920-c1a6-49c1-b08d-1ceccb1426bb · inbound

FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation cites this paper.

FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 27

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Observation ad8e1323-795a-4203-a5b6-71b4ee0811e3 · inbound

An Empirical Study of Vulnerability Detection using Federated Learning cites this paper.

An Empirical Study of Vulnerability Detection using Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 50

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Observation fbbc0313-df53-4a47-a4e1-59dade6f5fdb · inbound

Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces cites this paper.

Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 23

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Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget cites this paper.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 12

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NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing cites this paper.

NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 40

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Observation d3acae87-1ddc-4eef-97dc-5a449aceffae · inbound

One-shot Federated Learning via Synthetic Distiller-Distillate Communication cites this paper.

One-shot Federated Learning via Synthetic Distiller-Distillate Communication Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 58

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Observation ff0a4ed6-30f8-4cb7-a62d-f60f5244f531 · inbound

A Game-Theoretic Framework for Privacy-Aware Client Sampling in Federated Learning cites this paper.

A Game-Theoretic Framework for Privacy-Aware Client Sampling in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 48

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Observation e946dbd1-2a71-4ec4-bb8a-2888559315ff · inbound

Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation cites this paper.

Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

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SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning cites this paper.

SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 42

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Observation adf6b49f-84ad-4d92-a7b2-082e74b3d1f5 · inbound

The Impact of Cut Layer Selection in Split Federated Learning cites this paper.

The Impact of Cut Layer Selection in Split Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

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fluke: Federated Learning Utility frameworK for Experimentation and research cites this paper.

fluke: Federated Learning Utility frameworK for Experimentation and research Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks cites this paper.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 24

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Observation cb59f31c-9848-469b-92b0-9031f48fb8e3 · inbound

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning cites this paper.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 33

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Observation e3feb4c0-5240-469f-af7b-32c19a54c884 · inbound

Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection cites this paper.

Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 11

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Observation 5bdf323f-fcdf-4a5f-adb1-388b7da51839 · inbound

ML Mule: Mobile-Driven Context-Aware Collaborative Learning cites this paper.

ML Mule: Mobile-Driven Context-Aware Collaborative Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

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Observation f324cc3c-c339-4399-b554-b19fcb077fd3 · inbound

Client-Centric Federated Adaptive Optimization cites this paper.

Client-Centric Federated Adaptive Optimization Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 31

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FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks cites this paper.

FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 45

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Observation c01f597e-81e2-482b-a226-a6aacc096498 · inbound

Towards Communication-Efficient Adversarial Federated Learning for Robust Edge Intelligence cites this paper.

Towards Communication-Efficient Adversarial Federated Learning for Robust Edge Intelligence Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 34

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Observation 37d49d22-8047-4ef7-a1ba-2b413dad0d79 · inbound

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data cites this paper.

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

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Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion cites this paper.

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 20

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Observation 4f8cb77b-5c99-47e7-a255-e2a0cc0ff296 · inbound

Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks cites this paper.

Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 23

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Observation 65be079d-1eaf-470d-a14a-83a5af221450 · inbound

MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users cites this paper.

MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 13

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Observation 52e40c0e-b6bb-444a-910d-b4b981f43e8b · inbound

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning cites this paper.

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 18

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Observation 848325dd-129b-4d48-a318-f85fb7ea7d9b · inbound

Adaptive Prototype Knowledge Transfer for Federated Learning with Mixed Modalities and Heterogeneous Tasks cites this paper.

Adaptive Prototype Knowledge Transfer for Federated Learning with Mixed Modalities and Heterogeneous Tasks Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 10

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Observation 7a4441fa-2b5e-4978-a94f-3071593b6efb · inbound

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices cites this paper.

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 62

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Observation 9fef61e3-e9c4-4016-9908-7f27967be981 · inbound

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation cites this paper.

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 11

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TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data cites this paper.

TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 24

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Observation 3f3679d2-7dc9-48f5-af15-9206db660f1e · inbound

Towards Trustworthy Federated Learning with Untrusted Participants cites this paper.

Towards Trustworthy Federated Learning with Untrusted Participants Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 35

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Observation bf252536-4b28-4624-a006-eec06898d372 · inbound

Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data cites this paper.

Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 22

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Observation 2ef7e3e2-3e63-4972-8875-7665c5ea7858 · inbound

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning cites this paper.

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:10.872083Z

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Observation 5650876f-bc9f-49e0-a938-7a8c5c63dd48 · inbound

FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing cites this paper.

FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 28

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Observation 57769a9f-afef-4c44-bf07-3dfee3e9366e · inbound

Modular Federated Learning: A Meta-Framework Perspective cites this paper.

Modular Federated Learning: A Meta-Framework Perspective Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 111

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Observation b62871c8-4869-4563-b976-ff3c8b2f5229 · inbound

Energy-Efficient Federated Learning for AIoT using Clustering Methods cites this paper.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:44.764226Z

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Observation 5ba3842a-91b0-45cd-a1dc-fe8b9c207107 · inbound

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients cites this paper.

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:59.269254Z

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Observation 0d5026d7-8382-4f0f-9ab9-fe26a88dd963 · inbound

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption cites this paper.

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:38.094081Z

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Observation c40d31ab-a174-490d-9d57-0f81f56d7194 · inbound

Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data cites this paper.

Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:35.283569Z

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Observation 3b61dc53-b3d2-4113-a69b-1a183867068e · inbound

Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning cites this paper.

Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:57.576103Z

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Observation f0b2dd6f-d853-493f-8632-2c8287a1eb6c · 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 Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.094169Z

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Observation 4da047f7-03ca-4834-9e4b-ef46923c434a · inbound

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning cites this paper.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:20.154025Z

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Observation 4400b53b-3d6f-4f8a-b1b0-b35ed4165cdb · inbound

Federated Foundation Model for GI Endoscopy Images cites this paper.

Federated Foundation Model for GI Endoscopy Images Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:26.766818Z

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Observation 7975f2ee-515b-49ee-aa53-8712c69c72cd · inbound

ByzFL: Research Framework for Robust Federated Learning cites this paper.

ByzFL: Research Framework for Robust Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:45.054526Z

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Observation b35ec499-52a9-4717-a541-404bacf31090 · inbound

PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning cites this paper.

PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:20.178527Z

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Observation c4c8c3de-894b-4db0-a10f-98f5a091e611 · inbound

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity cites this paper.

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:27.520931Z

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Observation 9060c504-130d-499e-88ac-af83803ef361 · inbound

Enhancing Parallelism in Decentralized Stochastic Convex Optimization cites this paper.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:45.708798Z

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Observation 6a13c732-b811-40fb-af15-e18cb80ba37d · inbound

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA cites this paper.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.093353Z

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Observation ab838895-184c-486e-a8de-16ee990b13d6 · inbound

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning cites this paper.

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:42.666302Z

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Observation 68d221fc-b35e-47f4-81ab-5bce81c12328 · inbound

Optimized Local Updates in Federated Learning via Reinforcement Learning cites this paper.

Optimized Local Updates in Federated Learning via Reinforcement Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:24.477660Z

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Observation d824dadb-2a95-461b-bf23-c6228b114bf9 · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.693232Z

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Observation 47246ec4-fe6e-464e-8429-449d90bbb840 · inbound

FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning cites this paper.

FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:15.970732Z

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Observation e61c0195-6f74-46a4-a954-970ead77d506 · inbound

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data cites this paper.

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:27.707228Z

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Observation 9f4b5d07-f640-4049-87fd-0f2c9baaeb04 · inbound

Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates cites this paper.

Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:46.763483Z

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Observation eec9362c-ede7-4c4c-8cf9-a874cdbd672d · inbound

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning cites this paper.

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:04:47.702522Z

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Observation 2df327ec-6e29-4688-a612-87ef6cbdd293 · inbound

Topology-Aware Differential Privacy in Hierarchical Federated Learning cites this paper.

Topology-Aware Differential Privacy in Hierarchical Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:03.300609Z

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Observation 28fc0e46-c559-4790-ba45-0e1917e30c86 · inbound

Distilling A Universal Expert from Clustered Federated Learning cites this paper.

Distilling A Universal Expert from Clustered Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:14.448347Z

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Observation 170016cc-8097-416f-ac3f-f8b99e8992b6 · inbound

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation cites this paper.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:39.717052Z

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Observation 205d97ab-864f-457f-a8ff-b26566baf09a · inbound

WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning cites this paper.

WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:19.640350Z

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Observation 29bc3c89-67a2-4e03-acb5-9aa5e3805694 · inbound

Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices cites this paper.

Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:49:42.288672Z

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Observation a19eebd9-374f-49d3-8492-5519238dfce5 · inbound

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning cites this paper.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:43.727822Z

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Observation 6972ca9b-7de8-4912-982e-0e7e579459a4 · inbound

An Information-Theoretic Analysis for Federated Learning under Concept Drift cites this paper.

An Information-Theoretic Analysis for Federated Learning under Concept Drift Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:30.206175Z

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Observation 8a28bc92-5d58-4499-a1cb-3bfe42a9df61 · inbound

FedDAA: Dynamic Client Clustering for Concept Drift Adaptation in Federated Learning cites this paper.

FedDAA: Dynamic Client Clustering for Concept Drift Adaptation in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:57.815989Z

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Observation 38a4d213-3f1d-422b-b77c-c5db0145bb2a · inbound

Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion cites this paper.

Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:13.910237Z

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Observation e9aa1e29-fbe9-4c3d-9429-1f2d27cd34d3 · 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 Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:36.308279Z

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Observation bed6acee-d641-4cce-be58-9d2cdfcbb17e · inbound

FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization cites this paper.

FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:42.742531Z

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Observation 3857d0ab-52bb-43e8-b418-9b1c6c7c8d6f · inbound

Efficient Federated Learning with Timely Update Dissemination cites this paper.

Efficient Federated Learning with Timely Update Dissemination Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:26.299158Z

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Observation 0bc6dba4-2d48-4f58-9ca8-3264d79bdf42 · inbound

On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning cites this paper.

On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T05:42:06.061942Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09656b19-d1d8-4033-bec4-6b2f22a4df0b · inbound

Ampere: Communication-Efficient and High-Accuracy Split Federated Learning cites this paper.

Ampere: Communication-Efficient and High-Accuracy Split Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:13:20.311415Z

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Observation 0eb49e03-a543-401f-a530-46985195e2cf · inbound

FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning cites this paper.

FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:13:25.795161Z

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Observation 81343ad9-4b97-4bcb-a7de-eb8e910e4665 · inbound

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs cites this paper.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:02.595635Z

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Observation 305eef3a-8b80-4449-804c-6e8600bf3109 · inbound

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise cites this paper.

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:22.216588Z

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Observation 199e2783-9b95-4a19-913c-c08d9b64d008 · inbound

Federated Learning for Commercial Image Sources cites this paper.

Federated Learning for Commercial Image Sources Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:15.441089Z

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Observation 615432fa-9238-4179-b6d1-f3a1fe775f68 · inbound

Random Walk Learning and the Pac-Man Attack cites this paper.

Random Walk Learning and the Pac-Man Attack Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 34

Resolution: malformed identifier; local_arxiv, observed 2026-05-19T02:06:58.646984Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c281817-2684-4b2b-b9a9-709ba763e779 · inbound

Random Walk Learning and the Pac-Man Attack cites this paper.

Random Walk Learning and the Pac-Man Attack Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 34

Resolution: malformed identifier; no resolver link, observed 2026-08-06T10:31:02.878759Z

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Observation d97118cb-7501-4ea5-8610-f997deb7f574 · inbound

DOPA: Stealthy and Generalizable Backdoor Attacks from a Single Client under Challenging Federated Constraints cites this paper.

DOPA: Stealthy and Generalizable Backdoor Attacks from a Single Client under Challenging Federated Constraints Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T18:31:57.241995Z

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Observation 4d551abd-097f-4d12-b2cf-19f3ae248e29 · 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 Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:14.625464Z

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Observation cef250b0-c523-4d01-9754-d35273d1a10e · inbound

Rethinking Federated Learning Over the Air: The Blessing of Scaling Up cites this paper.

Rethinking Federated Learning Over the Air: The Blessing of Scaling Up Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T17:10:10.135477Z

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Observation 67af99f0-aec5-4137-9981-ed620bec11fb · inbound

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data cites this paper.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:35.434245Z

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Observation 5a20a7db-7323-4cd9-94ef-641ec75dc864 · inbound

Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data cites this paper.

Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-18T14:06:27.377130Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bef96c45-6109-496d-ad8c-0ff9a4446836 · inbound

On the Detectability of Active Gradient Inversion Attacks in Federated Learning cites this paper.

On the Detectability of Active Gradient Inversion Attacks in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T22:28:52.926280Z

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Observation 498317be-74d6-418f-855f-cc0c5e8c7311 · inbound

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning cites this paper.

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e99b01e7-be8d-4405-934f-00de6d660218 · inbound

REVERB-FL: Server-Side Adversarial and Reserve-Enhanced Federated Learning for Robust Audio Classification cites this paper.

REVERB-FL: Server-Side Adversarial and Reserve-Enhanced Federated Learning for Robust Audio Classification Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-21T16:40:22.618339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c458823-8ad2-404a-8724-1f6e37937e33 · inbound

Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks cites this paper.

Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T11:08:12.648411Z

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Unavailable: canonical work link unavailable.

Observation d770d19f-2c80-406e-89fd-c1d94f7f8417 · inbound

PID-Guided Partial Alignment for Multimodal Decentralized Federated Learning cites this paper.

PID-Guided Partial Alignment for Multimodal Decentralized Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T10:31:20.749566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f06d150-2ce5-4357-add8-3be82571a164 · inbound

DeepFedNAS: Efficient Hardware-Aware Architecture Adaptation for Heterogeneous IoT Federations via Pareto-Guided Supernet Training cites this paper.

DeepFedNAS: Efficient Hardware-Aware Architecture Adaptation for Heterogeneous IoT Federations via Pareto-Guided Supernet Training Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 198a5183-5b51-4201-bcd6-bc8e88f56c30 · inbound

Lethe: Adapter-Augmented Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning cites this paper.

Lethe: Adapter-Augmented Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T06:35:47.429816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a0bd7f-d8e3-4097-9757-fb1d72f72a6d · inbound

SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs cites this paper.

SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7ec0659-25ba-4ce0-9360-7ec6755c1ca3 · inbound

Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Model Sharing cites this paper.

Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Model Sharing Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T22:01:25.586894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea799b56-a426-4eeb-b0c1-f57068f14a6e · inbound

PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems cites this paper.

PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T21:51:46.801587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75dc4780-150b-4262-a92e-cd451567f52f · inbound

DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models cites this paper.

DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c444605e-2201-4cf4-aa86-cbeabcd06808 · inbound

FedNSAM:Consistency of Local and Global Flatness for Federated Learning cites this paper.

FedNSAM:Consistency of Local and Global Flatness for Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43ac447f-2de1-4c32-a6c7-4b44d2e9246f · 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 Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee3c6c5d-79b7-48bb-a38d-a8594cd26b63 · inbound

Exclusive Hadron Observables in Neutrino Induced $2p2h$ Multinucleon Knockout cites this paper.

Exclusive Hadron Observables in Neutrino Induced $2p2h$ Multinucleon Knockout Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T20:05:26.173933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 726b6feb-5b21-4df8-a272-61076c574b96 · inbound

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

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2018370c-5408-44c5-8a72-0b85673b11a6 · inbound

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization cites this paper.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44892afd-9226-42c1-b287-1662262dab74 · inbound

FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems cites this paper.

FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.