Semi-Federated Learning for Edge Intelligence with Imperfect SIC

W Ni, J Zheng, YC Eldar, C You… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
In this paper, we propose a semi-federated learning (SemiFL) framework that allows
computing-limited clients to collaboratively train a shared model with resource-abundant …
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Semi-Federated Learning for Edge Intelligence with Imperfect SIC

W Ni, J Zheng, Y Eldar, C You… - … , Speech, and Signal …, 2023 - weizmann.elsevierpure.com
In this paper, we propose a semi-federated learning (SemiFL) framework that allows
computing-limited clients to collaboratively train a shared model with resource-abundant …

Semi-Federated Learning for Edge Intelligence with Imperfect SIC

W Ni, J Zheng, Y Eldar, C You… - 2023 IEEE …, 2023 - weizmann.esploro.exlibrisgroup.com
In this paper, we propose a semi-federated learning (SemiFL) framework that allows
computing-limited clients to collaboratively train a shared model with resource-abundant …

Semi-Federated Learning for Edge Intelligence with Imperfect SIC

W Ni, J Zheng, Y Eldar, C You… - 2023 IEEE …, 2023 - … .esploro.exlibrisgroup.com
In this paper, we propose a semi-federated learning (SemiFL) framework that allows
computing-limited clients to collaboratively train a shared model with resource-abundant …

Semi-Federated Learning for Edge Intelligence with Imperfect SIC

W Ni, J Zheng, Y Eldar, C You… - 2023 IEEE …, 2023 - … .esploro.exlibrisgroup.com
In this paper, we propose a semi-federated learning (SemiFL) framework that allows
computing-limited clients to collaboratively train a shared model with resource-abundant …

Semi-Federated Learning for Edge Intelligence with Imperfect SIC

W Ni, J Zheng, Y Eldar, C You… - 2023 IEEE …, 2023 - weizmann.esploro.exlibrisgroup.com
In this paper, we propose a semi-federated learning (SemiFL) framework that allows
computing-limited clients to collaboratively train a shared model with resource-abundant …