News / #edge Tag Edge 12 articles archived under #edge · RSS Sign in to follow arXiv — Machine Learning research 15h ago A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions arXiv:2605.11010v1 Announce Type: new Abstract: Federated Learning has emerged as a transformative paradigm for collaborative machine learning across distributed environments. However, its performance is strongly influenced by the aggregation strategy used to combine local model… 17 r/LocalLLaMA community 16h ago I've seen a lot of folks ask "can local LLMs actually do anything useful?" And I'm here to share my experience. The answer is resoundingly 'yes'. Let me start with the local model I use every day in my AI harness: embedding models. I'm using an embedding model to give my AI's persistent memory system a semantic search protocol that makes its memory… 37 r/LocalLLaMA community 1d ago Local LLM autocomplete + agentic coding on a single 16GB GPU + 64GB RAM Today I set up a full coding toolbox on a single RTX 5080 (with RAM offloading) that's actually viable. Autocomplete : bartowski/Qwen2.5-Coder-7B-Instruct-GGUF:Q6_K_L Agentic : unsloth/Qwen3.6-35B-A3B-GGUF:UD-Q8_K_XL Why these models: Qwen2.5 is still the best model for infill… 9 Smol AI News news-outlet 1mo ago not much happened today **Gemma 4** was launched by **Google** under an **Apache 2.0 license**, marking a significant open-model release focused on **reasoning, agentic workflows, multimodality, and on-device use**. It outperforms models 10x larger and has immediate ecosystem support including… 35 NVIDIA Developer Blog official-blog 1mo ago Bringing AI Closer to the Edge and On-Device with Gemma 4 The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments, from... 27 Hugging Face official-blog 1mo ago Welcome Gemma 4: Frontier multimodal intelligence on device Back to Articles Welcome Gemma 4: Frontier multimodal intelligence on device Published April 2, 2026 Update on GitHub Upvote 891 merve merve Pedro Cuenca pcuenq Sergio Paniego sergiopaniego ben burtenshaw burtenshaw Steven Zheng Steveeeeeeen Alvaro Bartolome alvarobartt Nathan… 9 NVIDIA Developer Blog official-blog 1mo ago NVIDIA IGX Thor Powers Industrial, Medical, and Robotics Edge AI Applications Industrial and medical systems are rapidly increasing the use of high-performance AI to improve worker productivity, human-machine interaction, and downtime... 13 NVIDIA Developer Blog official-blog 2mo ago CUDA 13.2 Introduces Enhanced CUDA Tile Support and New Python Features CUDA 13.2 arrives with a major update: NVIDIA CUDA Tile is now supported on devices of compute capability 8.X architectures (NVIDIA Ampere and NVIDIA Ada), as... 18 Import AI news-outlet 2mo ago Import AI 448: AI R&D; Bytedance's CUDA-writing agent; on-device satellite AI If Ukraine is the first major drone war, when will there be the first major AI war? 6 NVIDIA Developer Blog official-blog 2mo ago How to Minimize Game Runtime Inference Costs with Coding Agents NVIDIA ACE is a suite of technologies for building AI agents for gaming. ACE provides ready-to-integrate cloud and on-device AI models for every part of in-game... 23 Google DeepMind official-blog 10mo ago Gemini Robotics On-Device brings AI to local robotic devices We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation. 33 Google DeepMind official-blog 11mo ago Announcing Gemma 3n preview: Powerful, efficient, mobile-first AI Gemma 3n is a cutting-edge open model designed for fast, multimodal AI on devices, featuring optimized performance, unique flexibility with a 2-in-1 model, and expanded multimodal understanding with audio, empowering developers to build live, interactive applications and… 23
