Federated Learning with Position-Aware Neurons

Understand

Federated Learning (FL) fuses collaborative models from local nodes without centralizing users' data.

• The permutation invariance property of neural networks and the non-i.i.d.
• data across clients make the locally updated parameters imprecisely aligned, disabling the coordinate-based parameter averaging.
• Traditional neurons do not explicitly consider position information.