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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Vishal Shrivastava

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7 papers indexed here

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#edge computing Open access Oct 2026

Neuromorphic Computing and Spiking Neural Networks (SNNs) for Ultra-Low-Power Edge Intelligence: Architectures, Learning Paradigms, and Silicon Benchmarks

Abstract—The continuous scaling of conventional Deep Neural Networks (DNNs) on classical Von Neumann architectures has reached severe physical boundaries governed by the 'memory wall' and unsustainable thermal dissipation. Battery-constrained edge computing environments—including autonomous micro-robotics, bio-implanta...

Priyanshu Dahiya, Tanish Mudgal, Vishal Shrivastava et al. · 0 citations
#federated learning Open access Oct 2026

Federated Fine-Tuning of Foundation Models (Fed-LLMs): Parameter-Efficient Adapters, Split Learning, and Gradient Privacy Bounds

Abstract—Fine-tuning Large Language Models (LLMs) and Vision Foundation Models on private, decentralized domain data is essential for specialized healthcare, legal, and financial enterprise applications. However, centralizing domain-specific text corpora triggers catastrophic data privacy violations under stringent reg...

Rohit Kumar, Inderkumawat, Vishal Shrivastava et al. · 0 citations
#graph neural networks Open access Oct 2026

Continual Lifelong Learning in Foundation Models: Mitigating Catastrophic Forgetting, Model Editing, and Dynamic Modular Expansion

Abstract—Modern foundation models, particularly autoregressive Large Language Models (LLMs) and Vision-Language Models (VLMs), operate predominantly under a static pre-train-then-freeze deployment paradigm. However, real-world enterprise deployments demand continuous, lifelong adaptation to non-stationary data streams:...

Satyam Kumar, Antu Kumar, Vishal Shrivastava et al. · 0 citations
#graph neural networks Open access Oct 2026

Graph Neural Networks (GNNs) for Complex System Anomaly Detection and Cybersecurity Telemetry: Topologies, Temporal Dynamics, and Enterprise SOC Benchmarks

Abstract—Modern enterprise computing fabrics, cloud infrastructures, and Security Operations Centers (SOCs) are inundated by billions of security events daily. Conventional Security Information and Event Management (SIEM) engines and intrusion detection systems (IDS) analyze telemetry as isolated, flat tabular logs (e....

Krish Kumar, Harsh Ranjan, Vishal Shrivastava et al. · 0 citations
#large language models Open access Oct 2026

Neuro-Symbolic Artificial Intelligence: Integrating Large Language Models with SMT Solvers, Knowledge Graphs, and Formal Automated Theorem Provers

Abstract—Modern deep neural networks, particularly autoregressive Large Language Models (LLMs), have achieved state-of-the-art empirical performance across natural language generation, semantic translation, and broad pattern recognition. However, pure statistical connectionist architectures suffer from fundamental epis...

Pratiyush, Mayank Singh, Vishal Shrivastava et al. · 0 citations
#explainable ai Open access Oct 2026

Explainable Artificial Intelligence for Computer Vision: A Comprehensive Study on Interpretability Techniques, and Applications

Abstract Convolutional neural networks (CNNs) have achieved state-of-the-art performance across computer vision tasks, including image classification, object detection, and medical image analysis. However, the opaque, black-box nature of these models limits their adoption in high-stakes domains such as healthcare, auto...

Ishan Gupta, Gaurav Jangid, Vishal Shrivastava et al. · 0 citations
#explainable ai Open access Oct 2026

Explainable Artificial Intelligence for Computer Vision: A Comprehensive Study on Interpretability Techniques, and Applications

Abstract Convolutional neural networks (CNNs) have achieved state-of-the-art performance across computer vision tasks, including image classification, object detection, and medical image analysis. However, the opaque, black-box nature of these models limits their adoption in high-stakes domains such as healthcare, auto...

Ishan Gupta, Gaurav Jangid, Vishal Shrivastava et al. · 0 citations

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