FedPGT: Progressive Gradient Transmission for Vehicular Federated Learning over Time-Varying Channels
FedPGT, a progressive gradient transmission scheme for VFL over time-varying channels, where vehicles progressively transmit high-magnitude gradient entries in response to instantaneous channel conditions is proposed, establishing a convergence bound that characterizes the impact of transmitted gradient entries and rev...
Jin-Tao Yan, Tan Chen, Yuxuan Sun et al.
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