Communication-efficient federated learning for edge IoT via combined quantization and sparsification
This paper implements a practical, communication-efficient FL framework that combines update quantization with top-k sparsification with error feedback and evaluates its performance under realistic edge conditions, and provides reproducible MATLAB code and result artifacts.
Seema Malik, Abhinav Grag, Nishtha Kansal
· Discover Electronics · 0 citations