Unsupervised Ethical Equity Evaluation of Adversarial Federated Networks

Author:

Siniosoglou Ilias1,Argyriou Vasileios2,Bibi Stamatia1,Lagkas Thomas3,Sarigiannidis Panagiotis1

Affiliation:

1. University of Western Macedonia, GR

2. Kingston University, GB

3. International Hellenic University, GR

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Personalisation of Federated Learning Models Through Knowledge Distillation on Decentralised Data;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04

2. Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in Healthcare;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-07-01

3. Evaluating the Effect of Volatile Federated Timeseries on Modern DNNs: Attention over Long/Short Memory;2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST);2023-06-28

4. Applying Federated Learning on Decentralized Smart Farming: A Case Study;2023 IEEE International Conference on Communications Workshops (ICC Workshops);2023-05-28

5. Unsupervised Bias Evaluation of DNNs in non-IID Federated Learning Through Latent micro-Manifolds;IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2022-05-02

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