You can run any models implemented in main_gradma_sw.py. For examples, you can run our model on CIFAR-10 dataset by the script:

We formulate a novel FL approach GradMA, which aims to simultaneously correct the server-side and worker-side update directions and fully harness the server’s rich computing and memory …

Founded on the legacy of the previous grandMA consoles, the grandMA3 represents a radical re-think of what’s possible from a lighting control platform. The elegant new system-architecture …

You can run any models implemented in main_gradma_sw.py. For examples, you can run our model on CIFAR-10 dataset by the script:

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Feb 28, 2023 · To tackle the problems, we propose a new FL approach (namely GradMA), which takes inspiration from continual learning to simultaneously correct the server-side and worker …

To tackle the problems, we propose a new FL approach (namely GradMA), which takes inspiration from continual learning to simultaneously correct the server-side and worker-side …

GradMA is the same as that of Fe-dAvg. Next, we detail core modules of GradMA, which include the memory reduction strategy (i.e., mem red()), Worker Update() and Server Update() on line

To tackle the problems, we propose a new FL approach, dubbed as GradMA (Gradient-Memory- based Accelerated Federated Learning), which takes inspiration from continual learning to …