Peer-to-Peer Deep Learning for Beyond-5G IoT

arXiv:2310.18861v2 Announce Type: replace
Abstract: We present P2PL, a practical multi-device peer-to-peer deep learning algorithm that, unlike the federated learning paradigm, does not require coordination from edge servers or the cloud. This makes P2PL well-suited for the sheer scale of beyond-5G computing environments like smart cities that otherwise create range, latency, bandwidth, and single point of failure issues for federated approaches.
P2PL introduces max norm synchronization to catalyze training, retains on-device deep model training to preserve privacy, and leverages local …

abstract algorithm arxiv bandwidth beyond cities cloud computing create cs.dc cs.lg deep learning edge edge servers environments federated learning iot latency paradigm peer peer-to-peer practical scale servers smart smart cities type