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Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains.

, , and . AAMAS, page 416-424. ACM, (2024)

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EEF1-NN: Efficient and EF1 allocations through Neural Networks., , and . CoRR, (2021)FNNC: Achieving Fairness through Neural Networks., and . IJCAI, page 2277-2283. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation., , and . AAAI, page 5582-5590. AAAI Press, (2023)Learning Optimal Redistribution Mechanisms Through Neural Networks., , and . AAMAS, page 345-353. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Federated Learning Meets Fairness and Differential Privacy., , and . ICONIP (6), volume 1517 of Communications in Computer and Information Science, page 692-699. Springer, (2021)Fair Federated Learning for Heterogeneous Face Data., , , and . CoRR, (2021)Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains., , and . CoRR, (2024)Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation., , and . CoRR, (2022)Fair Federated Learning for Heterogeneous Data., , , and . COMAD/CODS, page 298-299. ACM, (2022)Learning Equilibrium Contributions in Multi-project Civic Crowdfunding., , and . WI/IAT, page 368-375. ACM, (2021)