A　dynamic　event-triggered　transmission　strategy　is　considered　for　the　continuous-time　distributed　convex　optimization　algorithm　over　a　strongly　connected　and　weight-balanced　directed　graph.　An　auxiliary　variable　is　introduced　in　the　dynamic　event-triggered　control　(DETC)　that　is　free　of　Zeno　phenomenon.　We　model　the　DETC　system　into　a　hybrid　system.　Using　Lyapunov　stability　theory,　we　give　a　detailed　proof　for　convergence　of　the　continuous-time　distributed　convex　optimization　algorithm.　Finally,　a　numerical　simulation　shows　that　the　DETC　can　effectively　save　network　communication　resources　compared　with　a　static　event-triggered　control　(SETC).　©　2023　Technical　Committee　on　Control　Theory,　Chinese　Association　of　Automation.