Semi-Federated Learning for Edge Intelligence with Imperfect SIC
… , we propose a new semi-federated learning (SemiFL) framework … consider imperfect
successive interference cancellation (SIC… of imperfect SIC on the communication and learning …
successive interference cancellation (SIC… of imperfect SIC on the communication and learning …
Semi-federated learning: Convergence analysis and optimization of a hybrid learning framework
… , we propose a semi-federated learning (SemiFL) paradigm to leverage the computing
capabilities of both the BS and devices for a hybrid implementation of centralized learning (CL) …
capabilities of both the BS and devices for a hybrid implementation of centralized learning (CL) …
Semi-Federated Learning for Connected Intelligence With Computing-Heterogeneous Devices
J Han, W Ni, L Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
… ] considered the case of imperfect channel state information … [17] proposed a semi-federated
learning paradigm where data … interference cancellation (SIC), where the individual NOMA …
learning paradigm where data … interference cancellation (SIC), where the individual NOMA …
Balancing accuracy and integrity for reconfigurable intelligent surface-aided over-the-air federated learning
… when the number of receive antennas is small or moderate under imperfect CSI. … SIC is
carried out. Considering the effectiveness of the model recovery, we take the convention of SIC …
carried out. Considering the effectiveness of the model recovery, we take the convention of SIC …
[引用][C] Convergence Analysis and Latency Minimization for Semi-Federated Learning in Massive IoT Networks......................
… Based Multiple Relayed NOMA System With Imperfect CSI and SIC Errors . . . . . . . . . . . . . . . .
. . . . … Joint Optimization of Resource Allocation and SIC Ordering in Energy-Harvesting Relay-…
. . . . … Joint Optimization of Resource Allocation and SIC Ordering in Energy-Harvesting Relay-…
Network for Distributed Intelligence: A Survey and Future Perspectives
… imperfect CSI and under fast-varying channel environments. Deep Reinforcement Learning
can … is proposed for Federated Learning under communication limitations and imperfect CSI. …
can … is proposed for Federated Learning under communication limitations and imperfect CSI. …
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