Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

Calling the model on the input returns a 2-dimensional tensor with dim=0 corresponding to each output of 10 raw predicted values for each class, and dim=1 corresponding to the individual values of ...

Woman shot inside vehicle after she attempted to ram officers, police say With the penny going away, what should you do with the ones in your coin jar? C'Zavian Teasett injury update: Grambling State ...

I would like to tackle the build pytorch3d wheels issue since the code in this repo is outdated and many people are asking for this feature. I created a repo here with a Dockerfile and some bash ...

Learn how to crochet with my beginner friendly crochet tutorials. From the basic steps to the more intermediate crochet stitches. Remember, you're not just a person who can crochet, you're a crochet ...

Abstract: Mobile Edge Computing (MEC) leverages embedded devices to deliver low-latency and cost-effective intelligent services, such as autonomous driving. Federated learning allows MEC devices to ...