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Paper Citation Record · LEDGER

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.06268.

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

pith.paper-citation-record.v1
2505.06268 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:05:48.265178Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22de78f4-eeda-4b1e-9ab8-9607c99c76c8 · outbound

This paper cites Reconfigurable intelligent surface-assisted wireless federated learning with imperfect aggregation,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Reconfigurable intelligent surface-assisted wireless federated learning with imperfect aggregation,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

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

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Observation ef8ecc73-a503-4831-a845-8d58ee511779 · outbound

This paper cites Fractal: Data-aware clustering and communication optimization for decentralized federated learning,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Fractal: Data-aware clustering and communication optimization for decentralized federated learning,

Reference 2

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Source-reported events for the cited work

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

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Observation eb6a3c9f-2973-43ec-aeeb-bc99306ce6e5 · outbound

This paper cites Active client selection for clustered federated learning,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Active client selection for clustered federated learning,

Reference 3

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no resolver link, observed 2026-08-16T00:05:48.112995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 96d3dbbe-6b18-47ab-a089-f1ee6f6a68c9 · outbound

This paper cites Fedsa: A semi-asynchronous federated learning mechanism in heterogeneous edge computing,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Fedsa: A semi-asynchronous federated learning mechanism in heterogeneous edge computing,

Reference 5

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unresolved
no resolver link, observed 2026-08-16T00:05:48.122881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9670eaaa-7b80-4a04-b9e7-f85cdab832f7 · outbound

This paper cites An adaptive synchronous parallel strategy for distributed machine learning,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments An adaptive synchronous parallel strategy for distributed machine learning,

Reference 6

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Source-reported events for the cited work

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

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Observation 6c4d99c0-894c-45f4-a57e-b106b5d15cc1 · outbound

This paper cites Adaptive batch size for federated learning in resource-constrained edge computing,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Adaptive batch size for federated learning in resource-constrained edge computing,

Reference 7

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Source-reported events for the cited work

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

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Observation 05250925-adc4-41b6-9e77-8e788783af82 · outbound

This paper cites Enorm: A framework for edge node resource management,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Enorm: A framework for edge node resource management,

Reference 8

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Source-reported events for the cited work

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

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Observation 4717952e-dfce-41aa-a2c3-87b8c3df728f · outbound

This paper cites Adaptive control of local updating and model compression for efficient federated learning,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Adaptive control of local updating and model compression for efficient federated learning,

Reference 9

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Source-reported events for the cited work

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

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Observation 239a770f-ae14-4f4a-bc04-0cbbb42a9209 · outbound

This paper cites Asynchronous stochastic gradient descent with delay compensation,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Asynchronous stochastic gradient descent with delay compensation,

Reference 10

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raw_fallback, observed 2026-08-16T00:05:48.639617Z

Source-reported events for the cited work

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

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Observation b95a933e-b42d-49b7-8e05-8b8b8456311c · outbound

This paper cites Asynchronous parallel stochastic gradient for nonconvex optimization,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Asynchronous parallel stochastic gradient for nonconvex optimization,

Reference 11

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Source-reported events for the cited work

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

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Observation e37e6d16-8861-4ef8-9ebb-83cd18ba32a9 · outbound

This paper cites Distributed delayed stochastic optimiza- tion,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Distributed delayed stochastic optimiza- tion,

Reference 12

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Source-reported events for the cited work

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

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Observation 8143b00d-123b-4278-ac68-60abc1fca35e · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Local SGD Converges Fast and Communicates Little

Reference 13

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no resolver link, observed 2026-08-16T00:05:48.165992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 03ba7cc3-42e8-4ff2-b7cf-457d995e8806 · outbound

This paper cites Adaptive federated learning in resource constrained edge com- puting systems,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Adaptive federated learning in resource constrained edge com- puting systems,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 80a31c7b-fe0e-47ea-ae0b-512af2f948ba · outbound

This paper cites Cost-effective federated learning design,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Cost-effective federated learning design,

Reference 15

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 1da2e160-2bb2-4fa3-8276-276ca0f80602 · outbound

This paper cites Parallel restarted sgd with faster con- vergence and less communication: Demystifying why model averaging works for deep learning,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Parallel restarted sgd with faster con- vergence and less communication: Demystifying why model averaging works for deep learning,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-16T00:05:48.548231Z

Source-reported events for the cited work

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

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Observation 333ad31c-2648-4853-b33c-0a55a712ccb8 · outbound

This paper cites Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 310625ac-ddad-4949-a749-d7437754d9db · outbound

This paper cites Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization,

Reference 18

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verified fuzzy
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Source-reported events for the cited work

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

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Observation c4089d20-a481-463a-8e91-0676ed4bc75b · outbound

This paper cites Toward energy- efficient federated learning over 5g+ mobile devices,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Toward energy- efficient federated learning over 5g+ mobile devices,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 25b074e8-9f30-4735-9cbf-5f2b0b647840 · outbound

This paper cites Adaptive local update and neural composition for accelerating federated learning in heterogeneous edge networks,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Adaptive local update and neural composition for accelerating federated learning in heterogeneous edge networks,

Reference 20

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Source-reported events for the cited work

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

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Observation b19c7c1c-0a88-428f-9eed-96bd95a1daf6 · outbound

This paper cites Time-sensitive federated learn- ing with heterogeneous training intensity: A deep reinforcement learning approach,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Time-sensitive federated learn- ing with heterogeneous training intensity: A deep reinforcement learning approach,

Reference 21

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Source-reported events for the cited work

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

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Observation 26fb4081-80ca-40fd-abe4-bc5143087037 · outbound

This paper cites Petrel: Heterogeneity-aware distributed deep learning via hybrid synchroniza- tion,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Petrel: Heterogeneity-aware distributed deep learning via hybrid synchroniza- tion,

Reference 22

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Source-reported events for the cited work

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

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Observation 7ee4da4b-376e-4a33-b5f3-ecdccec11478 · outbound

This paper cites Fedmds: An efficient model discrepancy-aware semi-asynchronous clustered federated learning framework,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Fedmds: An efficient model discrepancy-aware semi-asynchronous clustered federated learning framework,

Reference 23

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Source-reported events for the cited work

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

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Observation f1b0dcfe-a7f7-409c-8dd4-7aab6cf5e700 · outbound

This paper cites Data distribution-aware online client selection algorithm for federated learning in heterogeneous networks,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Data distribution-aware online client selection algorithm for federated learning in heterogeneous networks,

Reference 24

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Source-reported events for the cited work

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

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Observation bdd96232-7f8d-4aa9-a0da-48fb67e4960b · outbound

This paper cites Aou-based local update and user scheduling for semi-asynchronous online federated learning in wireless networks,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Aou-based local update and user scheduling for semi-asynchronous online federated learning in wireless networks,

Reference 25

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raw_fallback, observed 2026-08-16T00:05:48.405627Z

Source-reported events for the cited work

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

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Observation 9a78ebc4-8ab4-4749-baa4-41125102af13 · outbound

This paper cites Adaptive clustering based straggler-aware federated learning in wireless edge networks,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Adaptive clustering based straggler-aware federated learning in wireless edge networks,

Reference 26

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raw_fallback, observed 2026-08-16T00:05:48.387671Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T00:05:48.241049Z digest=sha256:38e18771ed12ce38ad8584729041dec8590eec12843f89821c31bb2c555ff23f

Observation 3410c831-44e5-4a61-aebb-a7a3cfa2def0 · outbound

This paper cites Statistical aspects of wasserstein distances,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Statistical aspects of wasserstein distances,

Reference 27

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no resolver link, observed 2026-08-16T00:05:48.247634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:05:48.247634Z digest=sha256:30407b021a8022e40933689f56059618d5caca76698515f65ce44d9635f969d2

Observation 147d277b-b56f-449a-b17e-175f57a5aeb9 · outbound

This paper cites Clustering by passing messages between data points,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Clustering by passing messages between data points,

Reference 28

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raw_fallback, observed 2026-08-16T00:05:48.358817Z

Source-reported events for the cited work

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

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Observation c205680c-8848-48e3-93e6-332a1b8d5fe7 · outbound

This paper cites Dual-segment clustering strategy for hierarchical federated learning in heterogeneous environments,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Dual-segment clustering strategy for hierarchical federated learning in heterogeneous environments,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T00:05:48.732458Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T00:05:48.258371Z digest=sha256:3a08d9b49f2244a949bb7488dc9a4cb27426e174fbf487f38fdfaa327673d1e4

Observation 7708778e-252c-4133-af05-14da00614418 · outbound

This paper cites Heterogeneous training in- tensity for federated learning: A deep reinforcement learning approach,.

Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments Heterogeneous training in- tensity for federated learning: A deep reinforcement learning approach,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-16T00:05:48.339733Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T00:05:48.265178Z digest=sha256:280cc3d70fc4930b0b025c78ef990509049b1b457482e3ad7473a04496c366a1

Pith citing papers

No inbound Pith citation observations are available.