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Found 5 papers, 0 papers with code
Optimal Batch Allocation for Wireless Federated Learning
Additionally, we show that the non-zero batch gap between devices provided by the proposed step-wise batch allocation significantly reduces the completion time for RA-based learning systems.
Hybrid Online-Offline Learning for Task Offloading in Mobile Edge Computing Systems
We consider a multi-user multi-server mobile edge computing (MEC) system, in which users arrive on a network randomly over time and generate computation tasks, which will be computed either locally on their own computing devices or be offloaded to one of the MEC servers.
CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization
Inspired by this, this paper intends to introduce crowdsourcing into evolutionary computation (EC) to propose a crowdsourcing-based evolutionary computation (CEC) paradigm for distributed optimization.
Hybrid Neural Coded Modulation: Design and Training Methods
We propose a hybrid coded modulation scheme which composes of inner and outer codes.
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees
We consider a multichannel random access system in which each user accesses a single channel at each time slot to communicate with an access point (AP).
