Towards predicting client benefit and contribution in federated learning from data imbalance

Düsing C, Cimiano P. Towards predicting client benefit and contribution in federated learning from data imbalance. In: Association for Computing Machinery, ed. CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies. New York, NY, USA: ACM; 2022: 23-29.

Düsing, C., & Cimiano, P. (2022). Towards predicting client benefit and contribution in federated learning from data imbalance. In Association for Computing Machinery (Ed.), CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies (pp. 23-29). New York, NY, USA: ACM. https://doi.org/10.1145/3565010.3569063

Düsing, C., and Cimiano, P. (2022). “Towards predicting client benefit and contribution in federated learning from data imbalance” in CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, Association for Computing Machinery ed. (New York, NY, USA: ACM), 23-29.

Düsing, C., & Cimiano, P., 2022. Towards predicting client benefit and contribution in federated learning from data imbalance. In Association for Computing Machinery, ed. CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies. New York, NY, USA: ACM, pp. 23-29.

C. Düsing and P. Cimiano, “Towards predicting client benefit and contribution in federated learning from data imbalance”, CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, Association for Computing Machinery, ed., New York, NY, USA: ACM, 2022, pp.23-29.

Düsing, C., Cimiano, P.: Towards predicting client benefit and contribution in federated learning from data imbalance. In: Association for Computing Machinery (ed.) CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies. p. 23-29. ACM, New York, NY, USA (2022).

Düsing, Christoph, and Cimiano, Philipp. “Towards predicting client benefit and contribution in federated learning from data imbalance”. CoNEXT '22: Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies. Ed. Association for Computing Machinery. New York, NY, USA: ACM, 2022. 23-29.