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🚀 New Issue Released | #ComputersMaterialsContinua Tech Science Press We are delighted to announce the publication of Computers, Materials & Continua (Vol. 88, No. 2, 2026). 🔗 Explore the full issue: https://lnkd.in/g4Jk-UbG 🌟 On the Cover 🔗 https://lnkd.in/gi_S7u2X This featured survey provides a comprehensive overview of the rapidly evolving Federated Large Language Model (LLM) ecosystem. Key highlights include: ✅ A systematic taxonomy of federated LLM architectures ✅ Advanced data strategies for handling heterogeneity across distributed clients ✅ Retrieval-Augmented Generation (RAG) in federated environments ✅ Efficient adaptation and fine-tuning techniques for resource-constrained devices ✅ Security, privacy, and trust considerations in federated learning systems ✅ Emerging applications in healthcare, industry, software engineering, and finance The article also identifies critical open challenges and future research directions toward scalable, secure, and responsible deployment of federated LLMs. We invite researchers and practitioners to explore the latest advances presented in this issue. #ComputerScience #MaterialsScience #AI #FederatedLearning #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning #DistributedAI #DataPrivacy

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