{"total":39,"rows":[{"id":"2207.04557","title":"Mechanisms that Incentivize Data Sharing in Federated Learning","created":"2022-07-10","cited_by_count":39,"area":null},{"id":"2211.02091","title":"Fairness in Federated Learning via Core-Stability","created":"2022-11-03","cited_by_count":23,"area":null},{"id":"2108.07926","title":"Collaboration Equilibrium in Federated Learning","created":"2021-08-18","cited_by_count":16,"area":null},{"id":"2306.02071","title":"DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation","created":"2023-06-03","cited_by_count":12,"area":null},{"id":"2306.08393","title":"Provably Personalized and Robust Federated Learning","created":"2023-06-14","cited_by_count":11,"area":null},{"id":"2112.00818","title":"Models of fairness in federated learning","created":"2021-12-01","cited_by_count":8,"area":null},{"id":"2306.05592","title":"Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning","created":"2023-06-08","cited_by_count":8,"area":null},{"id":"2403.01387","title":"A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications","created":"2024-03-03","cited_by_count":8,"area":null},{"id":"2212.11194","title":"Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks","created":"2022-12-21","cited_by_count":6,"area":null},{"id":"2305.16272","title":"Incentivizing Honesty among Competitors in Collaborative Learning and Optimization","created":"2023-05-25","cited_by_count":6,"area":null},{"id":"2502.04850","title":"Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks","created":"2025-02-07","cited_by_count":6,"area":null},{"id":"2302.00106","title":"Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling","created":"2023-01-31","cited_by_count":4,"area":null},{"id":"2205.14840","title":"Maximizing Global Model Appeal in Federated Learning","created":"2022-05-30","cited_by_count":3,"area":null},{"id":"2412.00980","title":"Incentivizing Truthful Collaboration in Heterogeneous Federated Learning","created":"2024-12-01","cited_by_count":3,"area":null},{"id":"2501.09822","title":"pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data","created":"2025-01-16","cited_by_count":3,"area":null},{"id":"2401.13236","title":"How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning","created":"2024-01-24","cited_by_count":2,"area":null},{"id":"2410.04058","title":"pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology","created":"2024-10-05","cited_by_count":2,"area":null},{"id":"2509.23683","title":"Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2205.14196","title":"FadMan: Federated Anomaly Detection across Multiple Attributed Networks","created":"2022-05-27","cited_by_count":1,"area":null},{"id":"2302.08533","title":"Federated Learning as a Network Effects Game","created":"2023-02-16","cited_by_count":1,"area":null},{"id":"2309.11722","title":"Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning","created":"2023-09-21","cited_by_count":1,"area":null},{"id":"2311.04818","title":"Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment","created":"2023-11-08","cited_by_count":1,"area":null},{"id":"2505.00216","title":"Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2506.04265","title":"Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core","created":"2025-06-03","cited_by_count":1,"area":null},{"id":"2310.08790","title":"Price of Stability in Quality-Aware Federated Learning","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2311.00260","title":"Incentivized Collaboration in Active Learning","created":"2023-11-01","cited_by_count":0,"area":null},{"id":"2311.11101","title":"$\\varepsilon$-fractional Core Stability in Hedonic Games","created":"2023-11-18","cited_by_count":0,"area":null},{"id":"2411.03802","title":"On the Decomposition of Differential Game","created":"2024-11-06","cited_by_count":0,"area":null},{"id":"2411.11793","title":"Nonlinear Equilibrium Transitions in a Potential Game Model for Federated Learning","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2412.16968","title":"FedCross: Intertemporal Federated Learning Under Evolutionary Games","created":"2024-12-22","cited_by_count":0,"area":null},{"id":"2503.21722","title":"Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2506.02897","title":"Tackling Heterogeneity in Federated Learning via Variance-Reduced Boltzmann Sampling within Homogeneous Social Coalitions","created":"2025-06-03","cited_by_count":0,"area":null},{"id":"2506.16731","title":"Incentivizing High-quality Participation From Federated Learning Agents","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2508.07138","title":"Strategic Incentivization for Locally Differentially Private Federated Learning","created":"2025-08-10","cited_by_count":0,"area":null},{"id":"2509.02391","title":"Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It","created":"2025-09-02","cited_by_count":0,"area":null},{"id":"2512.24959","title":"Semi-overlapping Multi-bandit Best Arm Identification for Sequential Support Network Learning","created":"2025-12-31","cited_by_count":0,"area":null},{"id":"2605.05492","title":"MEMOA: Massive Mixtures of Online Agents via Mean-Field Decentralized Nash Equilibria","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2606.18384","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2607.26788","title":"Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach","created":"2026-07-29","cited_by_count":0,"area":null}],"next_cursor":null}