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Found 3 papers, 1 papers with code
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach
Because of the high speed of vehicles and the limited communication range of road side units (RSUs), the computation tasks of participating vehicles are to be dynamically migrated across multiple servers.
Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO
We then develop a new algorithm that is proven to converge to the neighbourhood of the stationary points of the formulated problem.
Information Theory Information Theory
Cell-Free Massive MIMO for Wireless Federated Learning
This paper proposes a novel scheme for cell-free massive multiple-input multiple-output (CFmMIMO) networks to support any federated learning (FL) framework.
Signal Processing Information Theory Information Theory
