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Found 6 papers, 1 papers with code
Joint User Pairing and Beamforming Design of Multi-STAR-RISs-Aided NOMA in the Indoor Environment via Multi-Agent Reinforcement Learning
Motivated by the above, we study the joint user pairing for NOMA and beamforming design of Multi-STAR-RISs in an indoor environment.
An Efficient Federated Learning Framework for Training Semantic Communication System
Semantic communication has emerged as a pillar for the next generation of communication systems due to its capabilities in alleviating data redundancy.
Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks
Due to the limited computing resources, each UAV executes only a portion of the offloaded tasks from its associated MDs in the first stage.
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Federated Learning is a new learning scheme for collaborative training a shared prediction model while keeping data locally on participating devices.
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
In this paper, we consider a FL system that involves one base station (BS) and multiple mobile users.
A Crowdsourcing Framework for On-Device Federated Learning
Federated learning (FL) rests on the notion of training a global model in a decentralized manner.
