Key papers

• A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry (2026)
  Yunjin Tong
  4.39
• Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum (2026)
  Lauri Lov\'en et al.
  4.27
• Knowledge-Free Correlated Agreement for Incentivizing Federated Learning (2026)
  Leon Witt et al.
  1.89
• Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning (2026)
  Thanh Linh Nguyen et al.
  1.83
• The Coordination Gap: Multi-Agent Alternation Metrics for Temporal Fairness in Repeated Games (2026)
  Nikolaos Al. Papadopoulos et al.
  1.78
• Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret with Infinite Variance (2026)
  Hangyi Zhao
  1.78
• Gradient Manipulation in Distributed Stochastic Gradient Descent with Strategic Agents: Truthful Incentives with Convergence Guarantees (2026)
  Ziqin Chen and Yongqiang Wang
  1.78
• Mitigating Backdoor Attacks in Federated Learning Using PPA and MiniMax Game Theory (2026)
  Osama Wehbi et al.
  1.78
• Toward a Sustainable Federated Learning Ecosystem: A Practical Least Core Mechanism for Payoff Allocation (2026)
  Zhengwei Ni and Zhidu Li and Wei Chen and Zhaoyang Zhang and Zehua Wang and F. Richard Yu and Victor C. M. Leung
  1.72
• Private and Robust Contribution Evaluation in Federated Learning (2026)
  Delio Jaramillo Velez et al.
  1.72
• JSAM: Privacy Straggler-Resilient Joint Client Selection and Incentive Mechanism Design in Differentially Private Federated Learning (2026)
  Ruichen Xu et al.
  1.72
• Mechanism Design for Federated Learning with Non-Monotonic Network Effects (2026)
  Xiang Li et al.
  1.67
• Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It (2025)
  Dongseok Kim et al.
  1.44
• Benchmarking Robust Aggregation in Decentralized Gradient Marketplaces (2025)
  Zeyu Song and Sainyam Galhotra and Shagufta Mehnaz
  1.44
• A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning (2025)
  Jiaxing Cao et al.
  1.44
• A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning (2025)
  Thanh Linh Nguyen and Quoc-Viet Pham
  1.44
• On the Fragility of Contribution Score Computation in Federated Learning (2025)
  Balazs Pejo and Marcell Frank and Krisztian Varga and Peter Veliczky and Gergely Biczok
  1.44
• Strategic Incentivization for Locally Differentially Private Federated Learning (2025)
  Yashwant Krishna Pagoti et al.
  1.39
• Multi-Hop Privacy Propagation for Differentially Private Federated Learning in Social Networks (2025)
  Chenchen Lin et al.
  1.39
• Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders (2025)
  Xuwei Yang and Fatemeh Tavakoli and David B. Emerson and Anastasis Kratsios
  1.22
• Participatory Budgeting with Project Groups (2020)
  Pallavi Jain et al.
  —
• A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data (2021)
  Lam Duc Nguyen et al.
  —
• Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm (2023)
  Boxin Zhao et al.
  —
• Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit (2024)
  Mengfan Xu et al.
  —
• Causal Influence in Federated Edge Inference (2024)
  Mert Kayaalp et al.
  —