Paper Citation Record · LEDGER

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2505.21727.

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

pith.paper-citation-record.v1
2505.21727 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:12.328749Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:11:47.313381Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:11:48.514543Z

Reference resolution

37 of 37 outbound references displayed

verified exact5
verified fuzzy17
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34c8360e-0f53-440c-af24-69e1f18f642c · outbound

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

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:08.892386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76530978-9f6a-4a80-b2ac-27226bd1b503 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Federated learning: Challenges, methods, and future directions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:08.979067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bd771b5-84b1-4667-88b7-47b73ad746dc · outbound

This paper cites Privacy-preserving federated learning for science: Challenges and research directions,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Privacy-preserving federated learning for science: Challenges and research directions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:16.006190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5de6ff5-78c8-4074-92f0-734ad0d78f37 · outbound

This paper cites End-to-end privacy preserving deep learning on multi-institutional medical imaging,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud End-to-end privacy preserving deep learning on multi-institutional medical imaging,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:15.878854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0e7fd918-5b9b-4816-985f-a58b98e3b230 · outbound

This paper cites Federated learning enables big data for rare cancer boundary detection,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Federated learning enables big data for rare cancer boundary detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:15.758701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f7d2bb49-ccc8-48ab-81eb-454f47ceba5a · outbound

This paper cites Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:28:13.328872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b1816b8-8f56-4db6-ba84-d3a1ed2e8d33 · outbound

This paper cites Federated learning in a medical context: a systematic literature review,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Federated learning in a medical context: a systematic literature review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:15.612987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e31b855-970d-4edc-95cc-e9dabc728e73 · outbound

This paper cites Heterogeneous feder- ated learning: State-of-the-art and research challenges,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Heterogeneous feder- ated learning: State-of-the-art and research challenges,

Reference 8

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Source-reported events for the cited work

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Observation adf6f2d3-87f0-45a7-b674-0995dbac1fc9 · outbound

This paper cites Asynchronous Federated Optimization.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Asynchronous Federated Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:09.669034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da7bc55-f30f-449d-88a0-cbd758933189 · outbound

This paper cites Federated learning with buffered asynchronous aggregation,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Federated learning with buffered asynchronous aggregation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:15.444626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31188acb-167f-45e6-9b57-33b69fbf8566 · outbound

This paper cites FedCompass: Efficient cross-silo federated learning on heterogeneous client devices using a computing power-aware scheduler,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud FedCompass: Efficient cross-silo federated learning on heterogeneous client devices using a computing power-aware scheduler,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:15.268972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90600c5e-1f72-484c-aad4-0f34cf0abc36 · outbound

This paper cites Asynchronous federated stochastic optimiza- tion for heterogeneous objectives under arbitrary delays,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Asynchronous federated stochastic optimiza- tion for heterogeneous objectives under arbitrary delays,

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:28:13.189505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d93ea0d-e6a3-4e5b-a966-9b841971f30e · outbound

This paper cites Analysis and Evaluation of Synchronous and Asynchronous FLchain.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Analysis and Evaluation of Synchronous and Asynchronous FLchain

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:28:12.976930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f5c9a14-11e0-472c-8d92-0cf61fa3a390 · outbound

This paper cites Efficient and light-weight federated learning via asynchronous dis- tributed dropout,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Efficient and light-weight federated learning via asynchronous dis- tributed dropout,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:10.219582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867513bc-0535-46f4-9609-1343592cf626 · outbound

This paper cites Advances and open problems in federated learning,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Advances and open problems in federated learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:10.283076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c4c3a7-9c86-48cf-94f9-a87ecfce6193 · outbound

This paper cites FedSZ: Leveraging error-bounded lossy compression for federated learning communications,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud FedSZ: Leveraging error-bounded lossy compression for federated learning communications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:15.137482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f153df2c-388a-4aa9-9956-9298035d3f8c · outbound

This paper cites FedSpaLLM: Federated Pruning of Large Language Models.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud FedSpaLLM: Federated Pruning of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:10.459632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e977a0e-f60e-40b8-8168-7199f1bb6ec2 · outbound

This paper cites Fed-SB: A silver bullet for extreme communication efficiency and performance in (private) federated lora fine-tuning,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Fed-SB: A silver bullet for extreme communication efficiency and performance in (private) federated lora fine-tuning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:10.562286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e98770-929e-424a-8037-0a4225c41e44 · outbound

This paper cites SpotDNN: Provisioning spot instances for predictable distributed DNN training in the cloud,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud SpotDNN: Provisioning spot instances for predictable distributed DNN training in the cloud,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:14.982500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 55e4f85a-af87-4462-b91d-fb965758b9a4 · outbound

This paper cites Spotnik: Designing distributed machine learning for transient cloud resources,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Spotnik: Designing distributed machine learning for transient cloud resources,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:14.815848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b4880de0-d3fd-47aa-bf0d-b80a898add6d · outbound

This paper cites Cynthia: Cost-efficient cloud resource provisioning for predictable distributed deep neural network training,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Cynthia: Cost-efficient cloud resource provisioning for predictable distributed deep neural network training,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:14.671091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation edb5e7fc-e9b5-4fbb-8102-7304ff457be4 · outbound

This paper cites Convex optimization of markov decision processes based on z transform: A theoretical framework for two-space decomposition and linear programming recon- struction,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Convex optimization of markov decision processes based on z transform: A theoretical framework for two-space decomposition and linear programming recon- struction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:14.548850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc924cf0-6fb3-43b5-a9ac-7736ceb1b38c · outbound

This paper cites Oort: Efficient federated learning via guided participant selection,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Oort: Efficient federated learning via guided participant selection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:14.358436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91613015-3f97-48fd-95d8-5da0c32789e5 · outbound

This paper cites Haccs: Heterogeneity-aware clustered client selection for accelerated federated learning,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Haccs: Heterogeneity-aware clustered client selection for accelerated federated learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:14.193404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d84af460-7898-4f6a-aa69-c6fd4537b689 · outbound

This paper cites HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

Reference 25

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Source-reported events for the cited work

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Observation d7395fca-129b-4416-9bbd-395a47d1dd40 · outbound

This paper cites Stragglers-aware low-latency synchronous federated learning via layer-wise model updates,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Stragglers-aware low-latency synchronous federated learning via layer-wise model updates,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:14.066400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8368ae2f-d6f8-4839-b063-061a84a7e6bc · outbound

This paper cites Ray: A Distributed Framework for Emerging AI Applications.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Ray: A Distributed Framework for Emerging AI Applications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:11.440092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eeca38f-9a82-4eab-be93-2537772138a4 · outbound

This paper cites Cloud-bursting and autoscaling for python-native scientific workflows using ray,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Cloud-bursting and autoscaling for python-native scientific workflows using ray,

Reference 28

Resolution: verified exact; doi, observed 2026-08-07T13:28:12.718949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c3ee3512-da94-4d7e-9efa-212a319427a0 · outbound

This paper cites Automated data management and learning- based scheduling for Ray-based hybrid HPC-cloud systems,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Automated data management and learning- based scheduling for Ray-based hybrid HPC-cloud systems,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e12fb775-fc3a-469f-a2a7-f456e078574c · outbound

This paper cites APPFL: open-source software framework for privacy-preserving federated learning,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud APPFL: open-source software framework for privacy-preserving federated learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:13.745827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e8c0e933-d30f-4ea7-9bcc-5ca9cdfa206a · outbound

This paper cites Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:11.824094Z

Source-reported events for the cited work

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Observation 9c85ebe0-eef8-4992-b0cc-e70855b4ad33 · outbound

This paper cites The mnist database of handwritten digits,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud The mnist database of handwritten digits,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:13.624436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 78e7069d-7200-42f7-94e3-5238e3241f6a · outbound

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

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Learning multiple layers of features from tiny images,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:12.001268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 978e940b-dfe1-4e56-886c-45cdb59aad72 · outbound

This paper cites Flagship dataset of type 2 diabetes from the AI-READI project (1.0.0),.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Flagship dataset of type 2 diabetes from the AI-READI project (1.0.0),

Reference 34

Resolution: verified exact; doi, observed 2026-08-07T13:28:12.471911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad03f016-1f48-48fb-8faa-3edb81dc0773 · outbound

This paper cites Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:13.530590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1793a4d7-035b-4580-8397-39a3908c6ea0 · outbound

This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:12.234745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ece578-5fce-474a-9bcd-300c75399384 · outbound

This paper cites Deep residual learning for image recognition,.

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud Deep residual learning for image recognition,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:12.328749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ea08f3b2-1711-4c74-ad3c-d275f2e25151 · inbound

FedStrategist: A Meta-Learning Framework for Adaptive and Robust Aggregation in Federated Learning cites this paper.

FedStrategist: A Meta-Learning Framework for Adaptive and Robust Aggregation in Federated Learning FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:11:48.660399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.