Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing

Pinyarash Pinyoanuntapong, Tagore Pothuneedi,Ravikumar Balakrishnan,Minwoo Lee,Chen Chen,Pu Wang

2021 IEEE/ACM Symposium on Edge Computing (SEC)（2021）

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摘要

Federated Learning (FL) over wireless multi-hop edge computing networks, i.e., multi-hop FL, is a cost-effective distributed on-device deep learning paradigm. This paper presents FedEdge simulator, a high-fidelity Linux-based simulator, which enables fast prototyping, sim-to-real code, and knowledge transfer for multi-hop FL systems. FedEdge simulator is built on top of the hardware-oriented FedEd...

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关键词

Federated learning,Reinforcement Learning,Transfer Learning,Edge Computing,Network Simulation

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