· devops
[Paper] Fundamental Limits of Coded Polynomial Aggregation
Coded polynomial aggregation (CPA) enables the master to directly recover a weighted aggregation of polynomial evaluations without individually decoding each te...
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- · devops
[Paper] Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
Federated learning (FL) enables collaborative model training without sharing raw user data, but conventional simulations often rely on unrealistic data partitio...
- · devops
[Paper] Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions
The proliferation of connected devices and privacy-sensitive applications has accelerated the adoption of Federated Learning (FL), a decentralized paradigm that...
- · ai
[Paper] QFed: Parameter-Compact Quantum-Classical Federated Learning
Organizations and enterprises across domains such as healthcare, finance, and scientific research are increasingly required to extract collective intelligence f...
- · ai
[Paper] Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Vision-Language-Action (VLA) tasks require reasoning over complex visual scenes and executing adaptive actions in dynamic environments. While recent studies on ...
- · ai
[Paper] Value-Aware Numerical Representations for Transformer Language Models
Transformer-based language models often achieve strong results on mathematical reasoning benchmarks while remaining fragile on basic numerical understanding and...
- · ai
[Paper] ShortCoder: Knowledge-Augmented Syntax Optimization for Token-Efficient Code Generation
Code generation tasks aim to automate the conversion of user requirements into executable code, significantly reducing manual development efforts and enhancing ...
- · ai
[Paper] SAM3-DMS: Decoupled Memory Selection for Multi-target Video Segmentation of SAM3
Segment Anything 3 (SAM3) has established a powerful foundation that robustly detects, segments, and tracks specified targets in videos. However, in its origina...
- · ai
[Paper] COMPOSE: Hypergraph Cover Optimization for Multi-view 3D Human Pose Estimation
3D pose estimation from sparse multi-views is a critical task for numerous applications, including action recognition, sports analysis, and human-robot interact...
- · ai
[Paper] Efficient Camera-Controlled Video Generation of Static Scenes via Sparse Diffusion and 3D Rendering
Modern video generative models based on diffusion models can produce very realistic clips, but they are computationally inefficient, often requiring minutes of ...
- · ai
[Paper] Empathy Applicability Modeling for General Health Queries
LLMs are increasingly being integrated into clinical workflows, yet they often lack clinical empathy, an essential aspect of effective doctor-patient communicat...
- · software
[Paper] How well LLM-based test generation techniques perform with newer LLM versions?
The rapid evolution of Large Language Models (LLMs) has strongly impacted software engineering, leading to a growing number of studies on automated unit test ge...