· software
[Paper] On Plagiarism and Software Plagiarism
This paper explores the complexities of automatic detection of software similarities, in relation to the unique challenges of digital artifacts, and introduces ...
-
- · ai
[Paper] RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
The quadratic complexity of self-attention mechanism presents a significant impediment to applying Transformer models to long sequences. This work explores comp...
- · ai
[Paper] Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution
We propose the Consensus-Based Privacy-Preserving Data Distribution (CPPDD) framework, a lightweight and post-setup autonomous protocol for secure multi-client ...
- · ai
[Paper] Revati: Transparent GPU-Free Time-Warp Emulation for LLM Serving
Deploying LLMs efficiently requires testing hundreds of serving configurations, but evaluating each one on a GPU cluster takes hours and costs thousands of doll...
- · ai
[Paper] Word Frequency Counting Based on Serverless MapReduce
With the increasing demand for high-performance and high-efficiency computing, cloud computing, especially serverless computing, has gradually become a research...
- · ai
[Paper] Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems
Human biological systems sustain life through extraordinary resilience, continually detecting damage, orchestrating targeted responses, and restoring function t...
- · devops
[Paper] From Consensus to Chaos: A Vulnerability Assessment of the RAFT Algorithm
In recent decades, the RAFT distributed consensus algorithm has become a main pillar of the distributed systems ecosystem, ensuring data consistency and fault t...
- · ai
[Paper] Vehicle Painting Robot Path Planning Using Hierarchical Optimization
In vehicle production factories, the vehicle painting process employs multiple robotic arms to simultaneously apply paint to car bodies advancing along a convey...
- · ai
[Paper] Rectifying Adversarial Examples Using Their Vulnerabilities
Deep neural network-based classifiers are prone to errors when processing adversarial examples (AEs). AEs are minimally perturbed input data undetectable to hum...
- · ai
[Paper] Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing
The rapid growth of artificial intelligence (AI) has brought novel data processing and generative capabilities but also escalating energy requirements. This cha...
- · devops
[Paper] Impact of Clustering on the Observability and Controllability of Complex Networks
The increasing complexity and interconnectedness of systems across various fields have led to a growing interest in studying complex networks, particularly Scal...
- · ai
[Paper] SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time
We present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePil...