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Found 7 papers, 1 papers with code
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class
This data-efficiency is seen to manifest as LIPEx being able to compute its explanation matrix around 53% faster than all-class LIME, for classification experiments with text data.
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Specifically, we first design a random sparsification algorithm to retain a fraction of the gradient elements in each client's local training, thereby mitigating the performance degradation induced by DP and and reducing the number of transmission parameters over wireless channels.
One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation
To effectively exploit the benefits enabled by semantic communication, in this paper, we propose a one-to-many semantic communication system.
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network
Theoretical analysis proves that the proposed algorithm can achieve a $[O(1/V), O(V)]$ tradeoff between EE and service delay.
Turbulence suppression by streamwise-varying wall rotation in pipe flow
Two control parameters, which are velocity amplitude and wavelength, are considered.
Fluid Dynamics
Multi-Armed Bandit Based Client Scheduling for Federated Learning
In each communication round of FL, the clients update local models based on their own data and upload their local updates via wireless channels.
Model-Driven Beamforming Neural Networks
We also offer enhancement methods such as training-set augmentation and transfer learning in order to improve the generality of BNNs, accompanied by computer simulation results and testbed results showing the performance of such BNN solutions.
