{"total":31,"rows":[{"id":"2109.02053","title":"GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning","created":"2021-09-05","cited_by_count":74,"area":null},{"id":"2111.01872","title":"Towards Fairness-Aware Federated Learning","created":"2021-11-02","cited_by_count":58,"area":null},{"id":"2111.11850","title":"Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective","created":"2021-11-20","cited_by_count":47,"area":null},{"id":"2404.15381","title":"Advances and Open Challenges in Federated Foundation Models","created":"2024-04-23","cited_by_count":36,"area":null},{"id":"2105.01798","title":"Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence","created":"2021-05-04","cited_by_count":18,"area":null},{"id":"2106.15905","title":"Faithful Edge Federated Learning: Scalability and Privacy","created":"2021-06-30","cited_by_count":13,"area":null},{"id":"2302.13473","title":"Towards Interpretable Federated Learning","created":"2023-02-27","cited_by_count":11,"area":null},{"id":"2201.02775","title":"ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems","created":"2022-01-08","cited_by_count":9,"area":null},{"id":"2209.09775","title":"FedToken: Tokenized Incentives for Data Contribution in Federated Learning","created":"2022-09-20","cited_by_count":9,"area":null},{"id":"2403.19178","title":"Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning","created":"2024-03-28","cited_by_count":9,"area":null},{"id":"2112.02870","title":"A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data","created":"2021-12-06","cited_by_count":8,"area":null},{"id":"2203.05369","title":"A Contribution-based Device Selection Scheme in Federated Learning","created":"2022-03-10","cited_by_count":7,"area":null},{"id":"2108.02712","title":"On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator","created":"2021-08-05","cited_by_count":6,"area":null},{"id":"2503.09956","title":"DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey","created":"2025-03-13","cited_by_count":6,"area":null},{"id":"2106.00717","title":"Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks","created":"2021-06-01","cited_by_count":4,"area":null},{"id":"2109.00202","title":"Federated Learning: Issues in Medical Application","created":"2021-09-01","cited_by_count":4,"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":"2206.07785","title":"Strategic Coalition for Data Pricing in IoT Data Markets","created":"2022-06-15","cited_by_count":3,"area":null},{"id":"2406.08526","title":"IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content","created":"2024-06-12","cited_by_count":3,"area":null},{"id":"2109.05267","title":"Utility Fairness for the Differentially Private Federated Learning","created":"2021-09-11","cited_by_count":2,"area":null},{"id":"2307.00233","title":"Hierarchical Federated Learning Incentivization for Gas Usage Estimation","created":"2023-07-01","cited_by_count":2,"area":null},{"id":"2110.08330","title":"Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning","created":"2021-10-15","cited_by_count":1,"area":null},{"id":"2204.08036","title":"Federated Learning Cost Disparity for IoT Devices","created":"2022-04-17","cited_by_count":1,"area":null},{"id":"2308.13838","title":"Price-Discrimination Game for Distributed Resource Management in Federated Learning","created":"2023-08-26","cited_by_count":1,"area":null},{"id":"2309.09253","title":"User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks","created":"2023-09-17","cited_by_count":1,"area":null},{"id":"2312.02611","title":"Privacy-Aware Data Acquisition under Data Similarity in Regression Markets","created":"2023-12-05","cited_by_count":1,"area":null},{"id":"2509.18120","title":"A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2101.01366","title":"A Symmetric Loss Perspective of Reliable Machine Learning","created":"2021-01-05","cited_by_count":0,"area":null},{"id":"2212.02049","title":"Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents","created":"2022-12-05","cited_by_count":0,"area":null},{"id":"2604.14886","title":"Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2605.04747","title":"Knowledge-Free Correlated Agreement for Incentivizing Federated Learning","created":"2026-05-06","cited_by_count":0,"area":null}],"next_cursor":null}