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🔍 meet udeshi 📂 Computer Science
Showing 5921 results for "meet udeshi" in Computer Science
Computer Science Preprint PDF DOI

Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li · 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit version…

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Computer Science Preprint PDF DOI

Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations

Md Hasan Saju, Akramul Azim · 2026

Security Operations Centers (SOCs) face mounting operational challenges. These challenges come from increasing threat volumes, heterogeneous SIEM platforms, and time-consuming manual triage workflows.…

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Computer Science Preprint PDF DOI

Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workers

Kashif Imteyaz, Isabel Lopez, Nakul Rajpal, Hunjun Shin, Saiph Savage · 2026

Freelance workers must continually acquire new skills to remain competitive in online labor markets, yet they lack the organizational training, mentorship, and infrastructure available to traditional …

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Computer Science Preprint PDF DOI

On Coded Caching Systems with Decentralized Linear Coding Placement

Yinbin Ma, Daniela Tuninetti · 2026

Coded caching is a technique that leverages locally cached contents at the end users to reduce the network's peak-time communication load. Coded caching has been shown to achieve significant performan…

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Computer Science Preprint PDF DOI

When Model Editing Meets Service Evolution: A Knowledge-Update Perspective for Service Recommendation

Guodong Fan, Cuiyun Gao, Chun Yong Chong, Lu Zhang, Jing Li, Jinglin Zhang, Shizhan Chen · 2026

The rapid evolution of software services poses substantial challenges to the design and implementation of effective recommendation systems. Traditional service recommendation approaches often rely on …

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Computer Science Preprint PDF DOI

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning

Yimeng Shan, Zhaorui Zhang, Sheng Di, Yu Liu, Xiaoyi Lu, Benben Liu · 2026

Federated Split Learning has been identified as an efficient approach to address the computational resource constraints of clients in classical federated learning, while guaranteeing data privacy for …

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Computer Science Preprint PDF DOI

Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models

Ajmain Inqiad Alam, Palash Roy, Chanchal K. Roy, Banani Roy, Kevin A. Schneider · 2026

The accelerating adoption of Large Language Models (LLMs) in software engineering (SE) has brought with it a silent crisis: unsustainable computational cost. While these models demonstrate remarkable …

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Computer Science Preprint PDF DOI

Decoding Delay Guarantees of Space Regulated Multiple Access Random Wireless Networks using Successive Interference Cancellation

Kevin Zagalo, Jean-Marie Gorce, Francois Baccelli · 2026

This paper is focused on decoding delay guarantees in wireless networks, where messages have a given signal-to-interference-plus-noise ratio threshold $\eta_0$ to meet in order to be successfully deco…

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Computer Science Preprint PDF DOI

Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation

Yongtao Yao, Wenjing Xiao, Miaojiang Chen, Anfeng Liu, Zhiquan Liu, Min Chen, Ahmed Farouk, H. Herbert Song · 2026

In the context of quantum secure scenarios, existing research on mobile edge devices and intelligent computing and edge (ICE) systems based on the Non-Orthogonal Multiple Access (NOMA) communication m…

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Computer Science Preprint PDF DOI

Optimization of Model Splitting, Placement, and Chaining for Multi-hop Split Learning and Inference

Takanori Hara, Masahiro Sasabe · 2026

Service Function Chaining (SFC) establishes efficient communication paths by ensuring that traffic traverses a predefined sequence of network functions in a specified order to meet particular service …

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Computer Science Preprint PDF DOI

Optimizing power by selective IP card shutdown using transport slicing

Alfonso Sanchez-Macian, Oscar Gonzalez de Dios, Jose Alberto Hernandez, Liesbeth Roelens, Pablo Armingol Robles, Juan Pedro Fernadez-Palacios, Ramon Casellas, Filippo Cugini · 2026

The increasing energy demands of upcoming sixth-generation (6G) mobile networks and networks supporting AI applications pose significant challenges for network operators in terms of operational costs …

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Computer Science Preprint PDF DOI

Advanced Anomaly Detection and Threat Intelligence in Zero Trust IoT Environments Using Machine Learning

Muhammad Umair Basharat, Jawad Hussain, Waqas Khalid, Chiew Foong Kwong · 2026

The growing adoption of IoT and cloud computing, combined with rapid advancements in digital technologies, has considerably increased the cyber-attack surface, resulting in increasingly complex and pe…

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Computer Science Preprint PDF DOI

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems

Yan-Martin Tamm, Anna Aljanaki · 2026

Over the years, Music Information Retrieval (MIR) research community has released various models pretrained on large amounts of music data. Transfer learning showcases the proven effectiveness of pret…

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Computer Science Preprint PDF DOI

COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC

Ankur Lahiry, Banooqa Banday, Yugesh Bhattarai, Mohammad Zaeed, Tanzima Z. Islam · 2026

HPC systems expose many configuration parameters that jointly drive competing objectives. Existing tools such as autotuners recommend good configurations but do not identify minimal changes for a near…

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Computer Science Preprint PDF DOI

A Comparison of ROS 2 and AUTOSAR Adaptive Platform Against Industry-Elicited Automotive Middleware Requirements

Lucas Hegerath, David Philipp Kluner, Philipp Pelcz, Viswanatha Reddy Batchu, Marius Molz, Julius Kahle, Thomas Schulik, Stefan Kowalewski, Alexandru Kampmann · 2026

In software-defined vehicles, automotive middleware plays a fundamental role in enabling efficient communication, integration, and coordination among software components. This paper examines how well …

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Computer Science Preprint PDF DOI

Transformer-Based Rhythm Quantization of Performance MIDI Using Beat Annotations

Maximilian Wachter, Sebastian Murgul, Michael Heizmann · 2026

Rhythm transcription is a key subtask of notation-level Automatic Music Transcription (AMT). While deep learning models have been extensively used for detecting the metrical grid in audio and MIDI per…

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Computer Science Preprint PDF DOI

O(K)-Approximation Coflow Scheduling in K-Core Optical Circuit Switching Networks

Xin Wang, Hong Shen, Hui Tian, Ye Tao · 2026

Coflow has emerged as a fundamental application-layer abstraction in distributed systems, representing communication dependencies and enabling collaborative management of related flows to enhance job …

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Computer Science Preprint PDF DOI

Probabilistic Epistemic Dynamic Agentive Logic

Shay Allen Logan · 2026

I introduce PEDAL -- a probabilistic epistemic logic meant to capture, in propositional dynamic terms, the epistemic state of an agent engaged in checking whether a program meets its specification. Se…

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Computer Science Preprint PDF DOI

Verifying Machine Learning Interpretability Requirements through Provenance

Lynn Vonderhaar, Juan Couder, Daryela Cisneros, Omar Ochoa · 2026

Machine Learning (ML) Engineering is a growing field that necessitates an increase in the rigor of ML development. It draws many ideas from software engineering and more specifically, from requirement…

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Computer Science Preprint PDF DOI

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation

Nikita Severin, Danil Kartushov, Vladislav Urzhumov, Vladislav Kulikov, Oksana Konovalova, Alexey Grishanov, Anton Klenitskiy, Artem Fatkulin, Alexey Vasilev, Andrey Savchenko, Ilya Makarov · 2026

Sequential recommender systems have achieved significant success in modeling temporal user behavior but remain limited in capturing rich user semantics beyond interaction patterns. Large Language Mode…

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