  For the first time, multi-task learning is proposed to improve the
flexibility of NN-based equalizers in coherent systems. A "single" NN-based
equalizer improves Q-factor by up to 4 dB compared to CDC, without re-training,
even with variations in launch power, symbol rate, or transmission distance.
