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Federated Learning Meets Fairness and Differential Privacy.

, , and . ICONIP (6), volume 1517 of Communications in Computer and Information Science, page 692-699. Springer, (2021)

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Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation., , and . AAAI, page 5582-5590. AAAI Press, (2023)Federated Learning Meets Fairness and Differential Privacy., , and . ICONIP (6), volume 1517 of Communications in Computer and Information Science, page 692-699. Springer, (2021)REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing., , and . AAMAS, page 1648-1650. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders., , and . AAMAS, page 1916-1918. International Foundation for Autonomous Agents and Multiagent Systems, (2019)AVeCQ: Anonymous Verifiable Crowdsourcing with Worker Qualities., , , , and . CoRR, (2023)Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding., , , and . CoRR, (2018)REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing., , and . CoRR, (2021)Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs., , , and . CoRR, (2019)Tutorial on Fair and Private Deep Learning., , and . COMAD/CODS, page 510-513. ACM, (2024)Differentially Private Multi-Agent Constraint Optimization., , , and . WI/IAT, page 422-429. ACM, (2021)