Flm 4.6 -

The biggest headache in FL has always been the "inference attack"—where a malicious central server reverse-engineers user data from model updates. FLM 4.6 introduces , which uses a dual-layer masking technique.

For the uninitiated, Federated Learning Models (FLM) allow you to train AI across thousands of edge devices (phones, hospitals, banks) without the raw data ever leaving the source. FLM 4.6 refines that promise with three major upgrades. flm 4.6

However, if you are starting a new project or currently struggling with slow convergence due to stragglers, The biggest headache in FL has always been