Paper Citation Record · LEDGER

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.26788.

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

pith.paper-citation-record.v1
2607.26788 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T21:06:32.294786Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

35 of 35 outbound references displayed

verified exact6
verified fuzzy0
unresolved25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f86aeab9-7627-45ba-8982-122b70c0a751 · outbound

This paper cites In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, pp.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, pp

Reference 1

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Observation 7457a51c-24cd-4384-ad53-3f1ae9c0605c · outbound

This paper cites IEEE Signal Processing Magazine37(3), 50–60 (2020) https://doi.org/10.1109/MSP.2020.2975749.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach IEEE Signal Processing Magazine37(3), 50–60 (2020) https://doi.org/10.1109/MSP.2020.2975749

Reference 2

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Observation 25f2aead-fd4e-43ed-8659-3280ca071c0c · outbound

This paper cites Foundations and Trends in Machine Learning14(1–2), 1–210 (2021) https://doi.org/10.1561/2200000083.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Foundations and Trends in Machine Learning14(1–2), 1–210 (2021) https://doi.org/10.1561/2200000083

Reference 3

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Observation b3cda6c9-70a1-4a88-b72a-54548ba28061 · outbound

This paper cites Games and Economic Behavior38(2), 201–230 (2002) https://doi.org/10.1006/ game.2001.0877.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Games and Economic Behavior38(2), 201–230 (2002) https://doi.org/10.1006/ game.2001.0877

Reference 4

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Observation 3d550fee-292d-4658-9d62-68f5c3e2edeb · outbound

This paper cites International Game Theory Review8(4), 613–641 (2006) https://doi.org/10.1142/S0219198906001144.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach International Game Theory Review8(4), 613–641 (2006) https://doi.org/10.1142/S0219198906001144

Reference 5

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Observation 3323c45c-4179-40cb-896b-f7cf925392f8 · outbound

This paper cites In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (2012).

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (2012)

Reference 6

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Observation 974bfb61-1ede-42f2-978c-19021a27ab18 · outbound

This paper cites Incentive Mechanism Design for Federated Learning: Hedonic Game Approach.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Incentive Mechanism Design for Federated Learning: Hedonic Game Approach

Reference 7

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This paper cites IEEE Transactions on Wireless Communications20(8), 4874–4887 (2021) https://doi.org/10.1109/TWC.2021.3062708.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach IEEE Transactions on Wireless Communications20(8), 4874–4887 (2021) https://doi.org/10.1109/TWC.2021.3062708

Reference 8

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Observation 78ec8b5b-b1b1-4d7b-a1b0-2de86b958a58 · outbound

This paper cites In: 2020 18th International Sympo- sium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, pp.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: 2020 18th International Sympo- sium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, pp

Reference 9

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Observation 041b0ab4-e4ee-4e2c-9df6-7404bbdaaeac · outbound

This paper cites IEEE Networking Letters2(1), 23–27 (2020) https://doi.org/ 27 10.1109/LNET.2019.2947144.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach IEEE Networking Letters2(1), 23–27 (2020) https://doi.org/ 27 10.1109/LNET.2019.2947144

Reference 10

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Observation e2962bcd-5faa-4f85-9acc-5fe3df3504f6 · outbound

This paper cites In: IEEE INFOCOM 2020 - IEEE Confer- ence on Computer Communications, pp.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: IEEE INFOCOM 2020 - IEEE Confer- ence on Computer Communications, pp

Reference 11

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Observation 4e1adf0a-b157-4407-b4f7-a3ad84f062a8 · outbound

This paper cites IEEE Access8, 187317–187325 (2020) https:// doi.org/10.1109/ACCESS.2020.3030888.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach IEEE Access8, 187317–187325 (2020) https:// doi.org/10.1109/ACCESS.2020.3030888

Reference 12

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Observation a2cadf0a-831f-4e0b-9714-ae5cc1b14f6e · outbound

This paper cites IEEE Transactions on Cognitive Communications and Networking8(3), 1566–1593 (2022) https://doi.org/10.1109/TCCN.2022.3177522.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach IEEE Transactions on Cognitive Communications and Networking8(3), 1566–1593 (2022) https://doi.org/10.1109/TCCN.2022.3177522

Reference 13

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Observation 9486e0a7-b1e0-4844-835d-93f9bc47a358 · outbound

This paper cites Knowledge-Based Systems315, 113212 (2025) https://doi.org/10.1016/j.knosys.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Knowledge-Based Systems315, 113212 (2025) https://doi.org/10.1016/j.knosys

Reference 14

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Observation eeceae1f-f730-419c-bd14-c65b76453d5c · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence35(6), 5303–5311 (2021) https://doi.org/10.1609/aaai.v35i6.16669.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Proceedings of the AAAI Conference on Artificial Intelligence35(6), 5303–5311 (2021) https://doi.org/10.1609/aaai.v35i6.16669

Reference 15

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Observation f4242bcb-315f-4bec-bdde-e7d88dce6067 · outbound

This paper cites In: Proceedings of the 38th International Conference on Machine Learning, pp.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Proceedings of the 38th International Conference on Machine Learning, pp

Reference 16

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Observation dfc70b06-ea13-418e-bc48-3df1eff9900a · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Advances in Neural Information Processing Systems, vol

Reference 17

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Observation 8849cfbd-8dec-490b-a0a2-b93f04bb6ed5 · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Advances in Neural Information Processing Systems, vol

Reference 18

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Observation 0c047b02-286e-4ff7-b057-fe8b3758eb32 · outbound

This paper cites In: 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, pp.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, pp

Reference 19

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This paper cites In: Advances in Neural Information Process- ing Systems, vol.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Advances in Neural Information Process- ing Systems, vol

Reference 20

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Observation 5af97f38-c719-4aa3-8ed4-c4e805ffd1ab · outbound

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Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach IEEE Transactions on Neural Networks and Learning Systems32(8), 3710–3722 (2021) https://doi.org/10.1109/TNNLS.2020.3015958

Reference 21

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This paper cites In: Brandt, F., Conitzer, V., Endriss, U., Lang, J., Procaccia, A.D.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Brandt, F., Conitzer, V., Endriss, U., Lang, J., Procaccia, A.D

Reference 22

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Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach ACM Transactions on Economics and Computation11(1–2), 4–1465 (2023) https://doi.org/10.1145/3588753

Reference 23

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This paper cites Journal of Artificial Intelligence Research62, 315–371 (2018) https://doi.org/10.1613/ jair.1.11211.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Journal of Artificial Intelligence Research62, 315–371 (2018) https://doi.org/10.1613/ jair.1.11211

Reference 24

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This paper cites In: Advances in Neural Information Processing Systems, vol.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Advances in Neural Information Processing Systems, vol

Reference 25

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Observation 10666c6a-9f8f-41b2-84a4-d53712f84bf0 · outbound

This paper cites IEEE Transactions on Parallel and Distributed Systems 33(11), 2675–2686 (2022).

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach IEEE Transactions on Parallel and Distributed Systems 33(11), 2675–2686 (2022)

Reference 26

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Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Proceedings of the AAAI Conference on Artificial Intelligence39(15), 15904–15912 (2025) https://doi.org/10.1609/aaai.v39i15

Reference 27

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Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach IEEE Internet of Things Journal12(9), 11258–11272 (2025) https://doi.org/10

Reference 28

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Observation 3650c4a4-4ba4-475f-92ec-1912b22e3860 · outbound

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Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Machine Learning56(1– 3), 89–113 (2004) https://doi.org/10.1023/B:MACH.0000033116.57574.95

Reference 29

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This paper cites In: Proceedings of the Fifteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach In: Proceedings of the Fifteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp

Reference 30

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Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Econo- metrica48(4), 987–1003 (1980) https://doi.org/10.2307/1912943 29

Reference 31

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Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Games and Economic Behavior 14(1), 124–143 (1996) https://doi.org/10.1006/game.1996.0044

Reference 32

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This paper cites SIAM Journal on Computing38(4), 1602–1623 (2008) https://doi.org/10.1137/ 070680096.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach SIAM Journal on Computing38(4), 1602–1623 (2008) https://doi.org/10.1137/ 070680096

Reference 33

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Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Journal of Combinatorial Theory, Series B80(2), 346– 355 (2000) https://doi.org/10.1006/jctb.2000.1989

Reference 34

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This paper cites Artificial Intelligence195, 316–334 (2013) https://doi.

Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach Artificial Intelligence195, 316–334 (2013) https://doi

Reference 35

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Pith citing papers

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