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Trust Driven On-Demand Scheme for Client Deployment in Federated Learning
May 2, 2024, 4:11 a.m. | Mario Chahoud, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani
cs.CR updates on arXiv.org arxiv.org
Abstract: Containerization technology plays a crucial role in Federated Learning (FL) setups, expanding the pool of potential clients and ensuring the availability of specific subsets for each learning iteration. However, doubts arise about the trustworthiness of devices deployed as clients in FL scenarios, especially when container deployment processes are involved. Addressing these challenges is important, particularly in managing potentially malicious clients capable of disrupting the learning process or compromising the entire model. In our research, we …
arxiv availability client clients container containerization cs.ai cs.cr demand deployment devices federated federated learning on-demand role technology trust trustworthiness
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