Abstract: Federated Learning (FL) is a popular privacy-preserving machine learning paradigm, enabling collaborative training among distributed devices coordinated by a central server, without ...
Methods: The integration of Federated Learning (FL) and Large Language Model (LLM) offers a promising solution to these challenges since FL supports the distributed training on edge device with ...
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To get PC players hyped for Pragmata’s 2026 launch (and to test the game on a wide range of different specs), Capcom has released the totally free Sketchbook Demo. Lasting roughly 20 minutes, it ...
Those interested in checking out the next Super Meat Boy platformer can now check out a taste of the action ahead of its release in 2026. Super Meat Boy 3D has gotten a free demo on Steam, so players ...
Management sim Esports Manager 2026, from developer Neurona Games and publishing platform indie.io, just released a new demo on Steam that gives an in-depth look at the systems that will be present in ...
Federated learning leverages data across institutions to improve clinical discovery while complying with data-sharing restrictions and protecting patient privacy. This paper provides a gentle ...
Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a broad spectrum of views in our domains. Artificial intelligence depends on ...
Fedi, the Bitcoin company building on top of the open source Fedimint protocol — a privacy-centric bitcoin payments method using Chaumian e-cash — is emerging from a period of quiet development to ...
Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...
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