most citedOnline Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 6 cited

Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting

Qingxiang Liu, Sheng Sun, Min Liu +2

Traffic flow forecasting (TFF) is of great importance to the construction of Intelligent Transportation Systems (ITS). To mitigate communication burden and tackle with the problem…