Incentive-Compatible Federated Learning with Stackelberg Game Modeling | Paper Citation Record

Observation 9cf46dfb-420d-4625-83ce-d8d0f3668c73 · outbound

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

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Communication-efficient learning of deep networks from decentralized data,

Reference 1

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Observation 59aa3833-8226-4d8b-a067-541f45524050 · outbound

This paper cites FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering

Reference 2

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Observation dcad39db-5fb3-453f-a29c-35bf42f419ea · outbound

This paper cites An efficient frame- work for clustered federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling An efficient frame- work for clustered federated learning,

Reference 3

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Observation 25f50ad3-a7cd-43d9-9f59-aab3a29aa123 · outbound

This paper cites Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.242377Z

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Observation b0beae6c-929c-486d-b587-a8535f8db8ec · outbound

This paper cites FedFair^3: Unlocking Threefold Fairness in Federated Learning.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling FedFair^3: Unlocking Threefold Fairness in Federated Learning

Reference 5

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Observation 2b8fd0f7-8023-4684-8ee9-2670b4cba347 · outbound

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

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Oort: Efficient federated learning via guided participant selection,

Reference 6

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Observation f026471c-d180-4c0b-a76c-53d9590d0f24 · outbound

This paper cites Fairfed: Enabling group fairness in federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Fairfed: Enabling group fairness in federated learning,

Reference 7

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Observation f3fd3d4c-a4ef-4eab-a586-2d7749e9d606 · outbound

This paper cites Three Approaches for Personalization with Applications to Federated Learning.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Three Approaches for Personalization with Applications to Federated Learning

Reference 8

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Observation 064914bb-6522-430d-b83c-9c9ad50f8512 · outbound

This paper cites Ditto: Fair and robust federated learning through personalization,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Ditto: Fair and robust federated learning through personalization,

Reference 9

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Observation 4974c219-1a43-485b-ae78-c4335fc8309f · outbound

This paper cites One for one, or all for all: Equilibria and optimality of collaboration in federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling One for one, or all for all: Equilibria and optimality of collaboration in federated learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:04.282921Z

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Observation 2d3a6bbe-cda0-48e8-8944-fff84a26343c · outbound

This paper cites Maschler, S.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Maschler, S

Reference 11

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Observation a0d2eb0c-e82f-4da5-a60a-674c15cc26ef · outbound

This paper cites Federated learning for edge networks: Resource opti- mization and incentive mechanism,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Federated learning for edge networks: Resource opti- mization and incentive mechanism,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:04.233066Z

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Observation ab787f31-b7f1-4112-91e8-ef139cb34cc0 · outbound

This paper cites Motivating workers in federated learning: A stackelberg game perspective,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Motivating workers in federated learning: A stackelberg game perspective,

Reference 13

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Observation f795cdfd-8aae-4933-941e-a505252886ad · outbound

This paper cites Stackelberg versus cournot equilibrium,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Stackelberg versus cournot equilibrium,

Reference 14

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Observation 49f6aaad-1e35-4f69-ab3e-127d9592796f · outbound

This paper cites Incentivizing quality contributions in federated learning: A stackelberg game approach,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Incentivizing quality contributions in federated learning: A stackelberg game approach,

Reference 15

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Observation 48597cfc-ae09-49ec-9646-85488e661927 · outbound

This paper cites Incentive mechanism for federated learning with random client selection,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Incentive mechanism for federated learning with random client selection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:04.141865Z

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Observation 6c069251-accd-40f6-b8ab-3a68a77e0ac6 · outbound

This paper cites In- centivizing honesty among competitors in collaborative learning and optimization,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling In- centivizing honesty among competitors in collaborative learning and optimization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:04.117408Z

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Observation 1f78aeec-0577-4eb4-a235-88e4be1833f9 · outbound

This paper cites Non-cooperative edge server selection game for federated learning in iot,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Non-cooperative edge server selection game for federated learning in iot,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:04.064779Z

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Observation c59e0d27-55c7-411e-a779-3bfb122e21eb · outbound

This paper cites Model-sharing games: Analyzing fed- erated learning under voluntary participation,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Model-sharing games: Analyzing fed- erated learning under voluntary participation,

Reference 19

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Observation 814190ad-336a-43a6-ac77-642f080ab097 · outbound

This paper cites Coalitional fl: Coalition formation and selection in federated learning with heterogeneous data,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Coalitional fl: Coalition formation and selection in federated learning with heterogeneous data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.991604Z

Source-reported events for the cited work

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Observation 9e8411b3-9dbf-4234-8061-68c70c20f7d0 · outbound

This paper cites A fairness-aware incentive scheme for federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling A fairness-aware incentive scheme for federated learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.966045Z

Source-reported events for the cited work

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Observation d7042e5d-4cad-4e20-a2fc-42f5e775db2b · outbound

This paper cites Game- theoretic design of quality-aware incentive mechanisms for hierarchical federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Game- theoretic design of quality-aware incentive mechanisms for hierarchical federated learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.930957Z

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Observation 0df918cd-968d-4df4-b3f1-6bd373d0971e · outbound

This paper cites Incentive-aware federated learning with training-time model rewards,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Incentive-aware federated learning with training-time model rewards,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.901671Z

Source-reported events for the cited work

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Observation 52c9202f-d7fc-4706-aa34-fb54a644c7f2 · outbound

This paper cites Federated learning game in iot edge computing,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Federated learning game in iot edge computing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.855827Z

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Observation 4546d309-d269-4a9c-abcb-16b7bb2cf75a · outbound

This paper cites Coalitional federated learning: Improving communication and training on non-iid data with selfish clients,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Coalitional federated learning: Improving communication and training on non-iid data with selfish clients,

Reference 25

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Observation dbfa612d-48ef-4b65-aef6-bbd29f8641e2 · outbound

This paper cites Edge learning as a hedonic game in lorawan,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Edge learning as a hedonic game in lorawan,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.795864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3828ad41-94dd-4bc3-961e-ca38ea0b871f · outbound

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

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Incentive Mechanism Design for Federated Learning: Hedonic Game Approach

Reference 27

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Source-reported events for the cited work

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Observation c46f8f6e-655c-4ed0-b443-bcba5b444c14 · outbound

This paper cites Incentives in federated learning: Equilibria, dynamics, and mechanisms for welfare maximization,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Incentives in federated learning: Equilibria, dynamics, and mechanisms for welfare maximization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.757865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7a79a61a-9565-48c2-a7c2-78ab5774c9fe · outbound

This paper cites To federate or not to federate: incentivizing client participation in federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling To federate or not to federate: incentivizing client participation in federated learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.733104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce2f5459-5015-40f6-8750-2e171a624884 · outbound

This paper cites A contract theory based incentive mechanism for federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling A contract theory based incentive mechanism for federated learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.699959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81d20db8-fef8-42da-a7cd-77f94367b9eb · outbound

This paper cites Optimal contract design for efficient federated learning with multi-dimensional private information,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Optimal contract design for efficient federated learning with multi-dimensional private information,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.675367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da42e777-ba03-4728-bdc7-ede9e4079403 · outbound

This paper cites An incentive mechanism design for efficient edge learning by deep reinforcement learning approach,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling An incentive mechanism design for efficient edge learning by deep reinforcement learning approach,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.655265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7a1d1ded-10a0-4879-abec-f5b6cd4b9135 · outbound

This paper cites Contract-based incentive mechanism for federated learning in edge computing system,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Contract-based incentive mechanism for federated learning in edge computing system,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.582032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e01ec9c-57db-4c65-accb-9b7afacf9633 · outbound

This paper cites An incentive mechanism for cross-silo federated learning: A public goods perspective,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling An incentive mechanism for cross-silo federated learning: A public goods perspective,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.534105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aeab267c-32b7-48e5-a0a0-7adf283f1755 · outbound

This paper cites Incentive mech- anism for reliable federated learning: A joint optimization approach to combining reputation and contract theory,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Incentive mech- anism for reliable federated learning: A joint optimization approach to combining reputation and contract theory,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.497155Z

Source-reported events for the cited work

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Observation 1f3f1b40-61bb-425c-8d25-876dc53081a6 · outbound

This paper cites A learning-based incentive mechanism for federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling A learning-based incentive mechanism for federated learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.428383Z

Source-reported events for the cited work

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Observation e408c5d8-99c2-43e5-8390-659cd58d48d3 · outbound

This paper cites Federated learning with heterogeneous client expectations: A game theory approach,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Federated learning with heterogeneous client expectations: A game theory approach,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.378054Z

Source-reported events for the cited work

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Observation d74ff9ae-a410-490a-8599-d683a48b1a22 · outbound

This paper cites Fairness in model-sharing games,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Fairness in model-sharing games,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.325967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9e013184-ecc4-410e-830c-3187f592f84b · outbound

This paper cites Fairness-aware client selection for federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Fairness-aware client selection for federated learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.286697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d52507d-d434-41e7-bcd2-ca576a44c650 · outbound

This paper cites Adafl: Adaptive client selection and dynamic contribution evaluation for efficient federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Adafl: Adaptive client selection and dynamic contribution evaluation for efficient federated learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.238777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09f006de-3d32-419e-b889-ec201fb7861e · outbound

This paper cites Fedfair3: Unlocking threefold fairness in federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Fedfair3: Unlocking threefold fairness in federated learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.206726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e5d3c54-c4d0-45ed-8434-def2ac3ee0ec · outbound

This paper cites Eiffel: Efficient and fair scheduling in adaptive federated learning,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Eiffel: Efficient and fair scheduling in adaptive federated learning,

Reference 42

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Observation 6846c745-2e51-4a24-86e5-9af24c619843 · outbound

This paper cites Fair Resource Allocation in Federated Learning.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Fair Resource Allocation in Federated Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.709317Z

Source-reported events for the cited work

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Observation c4acda3e-e63d-422a-bb07-3b4e8def5f8a · outbound

This paper cites AdaFed: Fair Federated Learning via Adaptive Common Descent Direction.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling AdaFed: Fair Federated Learning via Adaptive Common Descent Direction

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:12:02.865883Z

Source-reported events for the cited work

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Observation 7ced14e9-fc05-4848-bad8-d7c829af1d61 · outbound

This paper cites Existence and uniqueness of equilibrium points for concave n-person games,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Existence and uniqueness of equilibrium points for concave n-person games,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.124214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1464d980-14e4-42c6-9382-f2351b39180c · outbound

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

Incentive-Compatible Federated Learning with Stackelberg Game Modeling On the Convergence of FedAvg on Non-IID Data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.731901Z

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Observation 70f8567e-c13b-42c4-8cc7-b69e05cc744d · outbound

This paper cites Deep residual learning for image recognition,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Deep residual learning for image recognition,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.738796Z

Source-reported events for the cited work

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Observation 987399c6-ef47-44bb-b2d7-bdb03706a97b · outbound

This paper cites Backpropagation applied to handwritten zip code recognition,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Backpropagation applied to handwritten zip code recognition,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.747866Z

Source-reported events for the cited work

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Observation 553e981b-3a6a-4713-b7e9-8c4844eb19f4 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web],.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling The mnist database of handwritten digit images for machine learning research [best of the web],

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.753090Z

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Observation d14dba39-37a2-4e6d-af20-ad37ea547c8e · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.761074Z

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Observation 9aa20f68-b890-4e45-a781-8571fb0f5a12 · outbound

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

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Learning multiple layers of features from tiny images,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:03.035817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63012854-7cf1-4157-a274-b4f91175593b · outbound

This paper cites Federated optimization in heterogeneous networks,.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Federated optimization in heterogeneous networks,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.773005Z

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