Scalability

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Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Scalability.

Period ending 2026-09-14

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A weekly snapshot of new work published in Scalability.

71 papers

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Efficiently Distributed Federated Learning
Sep 17, 2026Gianluca Mittone, Robert Birke, Marco AldinucciFederated Learning Heterogeneous Edge Devices
A Scalable Framework for Automated NER Annotation Correction in Low-Resource Languages
Sep 16, 2026Toqeer Ehsan, Thamar SolorioNamed-Entity Recognition Natural Language Processing Tasks
Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
Sep 14, 2026Bassel Soudan, Sohail Abbas, Ahmed Kubba +2Federated Learning Scalability
Scalability Analysis of Distributed Kolmogorov-Arnold Network Training on High-Performance Computing Systems
Sep 7, 2026Guangneng Chen, David Garcia Selfa, Pablo Quesada BarriusoKolmogorov-Arnold Networks High-Performance Computing
User-Assisted Collaborative Distributed Inference for Efficient QoS-Aware Autoscaling
Aug 12, 2026Alfreds Lapkovskis, Ali Beikmohammadi, Sindri Magnússon +1Rate Scaling Online Inference
DeGS: A Scalable 3DGS Architecture via Decoupled Workload Parsing and Reorganization
Aug 3, 2026Minnan Pei, Gang Li, Zeyu Zhu +73D Gaussian Splats Scalability
DragonCrawl: A Generative, Intent-Based Framework for Scalable Mobile End-to-End Testing
Jul 30, 2026Sowjanya Puligadda, Mengdie Zhang, Ali Zamani +3Scalability
Search Strategies for Optimal Classification and Regression Trees
Jul 30, 2026Jacobus G. M. van der Linden, Mim van den Bos, Emir DemirovićDecision Trees Object Classification
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis
Jul 30, 2026Linus Sander, Fengjunjie Pan, Vahid Zolfaghari +3Multi-Agent Systems Scalability
AutoPSO: A Metaframework for Automated Particle Swarm Optimization
Jul 29, 2026Xinmeng Yu, Jiaxin Gao, Jianguo Zhang +2Particle Swarm Optimization Swarms
Unequal Trips, Unequal Places: Diagnosing and Mitigating Delay Inequity in Autonomous Vehicle Fleet Coordination
Jul 27, 2026Nicole Hu, Mingtao Zhang, Haoyang LI +2Autonomous Driving Dynamic Replanning
A scalable online machine learning approach for Stock Recommendation
Jul 25, 2026Harsh NagarkarLarge-Scale Recommendation Systems Recommendation
Robostral Navigate
Jul 22, 2026Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra +273Robocasa Large Vision Language Models
Efficient Clustering with Provable Guardrails for LLM Inference at Scale
Jul 22, 2026Longshaokan Wang, Wai Tsang Keung, Punit Ghodasara +3Image Clustering LLM Inference Efficiency
KALE: Kernel Alignment with Loss Equilibration for Stable CLIP-DINOv2 Alignment at Web Scale
Jul 21, 2026Michał PawłowiczValue Alignment Scalability
HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI Agents
Jul 16, 2026Hy Vision Team, Huawen Shen, Zhengyang Tang +20Graphical User Interface Agents Multimodal Agents
Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System
Jul 15, 2026Teri Rumble, Javad Zarrin, P. George Lovell +1Tutors Recent Retrieval-Augmented Generation
The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology
Jul 7, 2026Ghassen Marrakchi, Basarab MateiMultimodal Clinical Data Orchestration
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis
Jul 2, 2026Yisong Fu, Zezhi Shao, Chengqing Yu +4Time Series Foundation Models Zero-Shot Forecasting
MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems
Jun 28, 2026Vijay Janapa ReddiInfrastructure Machine Learning
Road to scalability for efficient graph search on massively parallel neuromorphic hardware
Jun 27, 2026Oskar von Seeler, Elena C. Offenberg, Carlo Michaelis +4Neuromorphic Hardware Shortest Paths
Building a Scalable, Reproducible, Evaluatable, and Closed-Loop Simulation Environment Foundation for Embodied Intelligence
Jun 26, 2026Junwu Xiong, Yongjian Guo, Mingxi Luo +17Intelligence Scalable Robot Data Synthesis
Scalability of Morality: A Particle-Based Numerical Study on the Decoupling of Law and Ethics in Large-Scale Populations
Jun 25, 2026Amir Arslan Haghrah, Amir Aslan HaghrahMoral Reasoning Social Dynamics
Content-Based Smart E-Mail Dispatcher Using Large Language Models
Jun 25, 2026K. Paramesha, K R Sriram, Sujan Shetty +2Scalability Group
Efficient Cross-Scale Invertible Hiding Network with Spatial-Frequency Collaboration and Non-Invertible Mechanism
Jun 24, 2026Junxue Yang, Xin LiaoEquivariant Neural Networks Learned Image Compression
Agon: An Autonomous Large-Scale Omnidisciplinary Research System Built on Prompt Economy
Jun 23, 2026Youran Sun, Xingyu Ren, Chugang Yi +4Autoresearch Multi-Agent Large Language Model Systems
An Efficient and Effective Architecture for Large-Scale Traffic Prediction via Geometry-Adaptive Square Partitioning
Jun 19, 2026Yongfeng Su, Hongwen Li, Zijian Zhang +3Accurate Traffic Forecasting Spatiotemporal
A Solver-Free Training Method for Predict-then-Optimize
Jun 17, 2026Beichen Wan, Mo LiuLearning-Augmented Algorithms Llm-Based Optimization Modeling
Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications
Jun 16, 2026Paresh Dashore, Shreyas Kulkarni, Uttam Gurram +5Multi-Agent Systems Enterprise Systems
ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling
Jun 9, 2026William Won, Jinsun Yoo, Tuan Ta +16Multi-Gpu Systems Scalability
NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics
Jun 2, 2026Sicong Gao, Maurice Pagnucco, Tomasz Bednarz +1Nvidia Isaac Sim Scalable Robot Learning
Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics
May 28, 2026Santiago Amaya-Corredor, Miguel Calvo-Fullana, Anders JonssonMulti-Agent Reinforcement Learning Consensus
OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models
May 27, 2026Xuanzhao Dong, Wenhui Zhu, Xiwen Chen +13Ophthalmology Multi-Modal Large Language Models
Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access
May 26, 2026Nikita Benkovich, Vitalii ValkovKubernetes Artificial Intelligence Agents
CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists
May 25, 2026Junlin Yang, Dylan Zhang, Xiangchen Song +7Causal Foundation Models Agentic Reasoning
SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection
May 21, 2026Santiago Ospitia, John Sanabria, John Garcia-HenaoSepsis Scalability
The Shape of Testimony: A Scalable Framework for Oral History Archive Comparison
May 20, 2026Itamar Trainin, Renana Keydar, Amit PinchevskiComparison History
Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development
May 19, 2026Christopher KochSoftware Engineering Coding Agents
Scalable Environments Drive Generalizable Agents
May 18, 2026Jiayi Zhang, Fanqi Kong, Guibin Zhang +7Agentic Control Scalability
Episodic-Semantic Memory Architecture for Long-Horizon Scientific Agents
May 17, 2026Nikola MilosevicLarge Language Model Memory Episodic Experiences
A Scalable Tool for Measuring Manner and Result Verbs in Developmental Language Research
May 15, 2026Divyesh Pratap Singh, Dakshesh Gusain, Federica Bulgarelli +4Pronoun Sentence-Level Classification
Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models
May 14, 2026Mahdi Naser Moghadasi, Faezeh GhaderiTransformer Architectures Large Models
Scalable Solution of the Stochastic Multi-path Traveling Salesman Problem via Neural Networks
May 14, 2026Xiaochen Chou, Ludovica Di Marco, Enza MessinaSalesman Problem Shortest Paths
TurboGR: An Accelerated Training System for Large-Scale Generative Recommendation
May 13, 2026Huichao Chai, Zhixin Wu, Xuemiao Li +8Neural Processing Units Large Models
Kairos: A Scalable Serving System for Physical AI
May 12, 2026Yinwei Dai, Ganesh Ananthanarayanan, Landon Cox +3Artificial Intelligence Systems Multi-Robot Systems
Coarse-to-Fine: Progressive Image Compression for Semantically Hierarchical Classification
May 8, 2026Jungwoo Kim, Jun-Hyuk Kim, Jong-Seok LeeLearned Image Compression Dense Semantic Segmentation
An Interpretable and Scalable Framework for Evaluating Large Language Models
May 7, 2026Xinhao Qu, Qiang Heng, Hao Zeng +1Large Language Model Evaluation Item Response Theory
Power-Efficiency and Scalability Analysis of Magnetically-Actuated Satellite Swarms via Convex Optimization
May 7, 2026Yuta Takahashi, Seang Shim, Hiraku Sakamoto +1Unmanned Aerial Vehicle Swarms Satellite
ARA: Agentic Reproducibility Assessment For Scalable Support Of Scientific Peer-Review
May 4, 2026Kevin Riehl, Andres L. Marin, Nikofors Zacharof +6Reproducibility Peer Review
Let ViT Speak: Generative Language-Image Pre-training
May 1, 2026Yan Fang, Mengcheng Lan, Zilong Huang +7Large Vision Language Models Vision Encoders
Adaptation of AI-accelerated CFD Simulations to the IPU platform
May 1, 2026P. Rosciszewski, A. Krzywaniak, S. Iserte +2Computational Fluid Dynamic Scalability
ClawGym: A Scalable Framework for Building Effective Claw Agents
Apr 29, 2026Fei Bai, Huatong Song, Shuang Sun +11Claws Sandbox
Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling
Apr 29, 2026Zhen Zhang, Changyi Yang, Zijie Xia +11Token-Level Uncertainty Inference Cost
OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction
Apr 28, 2026Junxing Hu, Tianlong Li, Lei Yu +1Multi-Agent Systems Scalability
Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
Apr 27, 2026Zeyu BaiScalability Data Lakes
Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions
Apr 27, 2026Driss Choukri, Essaid Sabir, Elmahdi Driouch +1Internet Of Thing Web
ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation
Apr 27, 2026Yu Xin, Gorkem Can Ates, Jun Ma +5Medical Image Segmentation Video-Text Alignment
MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives
Apr 27, 2026Tingwu Wang, Olivier Dionne, Michael De Ruyter +13Human Motion Generation Controllable Video Generation
FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost
Apr 27, 2026Chenhao Feng, Haoli Zhang, Shakhzod Ali-Zade +17Scalability Single Graphics Processing Unit
Breaking the Scalability Limit of Multi-Projector Calibration with Embedded Cameras
Apr 27, 2026Takumi Kawano, Kohei Miura, Daisuke IwaiFringe Projection Profilometry Camera Intrinsics

Sep 17, 2026 · cs.PFJ/K move · Enter open · S save

Efficiently Distributed Federated Learning

Gianluca Mittone, Robert Birke, Marco Aldinucci

Federated Learning (FL) is experiencing a substantial research interest, with many frameworks being developed to allow practitioners to build federations easily and quickly. Most of these efforts do not consider two main aspects that are key to Machine Learning (ML) software: customizability and performance. This research addresses these issues by implementing an open-source FL framework named FastFederatedLearning (FFL). FFL is implemented in C/C++, focusing on code performance, and allows the user to specify any communication graph between clients and servers involved in the federation, ensuring customizability. FFL is tested against Intel OpenFL, achieving consistent speedups over different computational platforms (x86-64, ARM-v8, RISC-V), ranging from 2.5x and 3.69x. We aim to wrap FFL with a Python interface to ease its use and implement a middleware for different communication backends to be used. We aim to build dynamic federations in which relations between clients and servers are not static, giving life to an environment where federations can be seen as long-time evolving structures and exploited as services.

Federated Learning Heterogeneous Edge Devices Scalability Distributional Learning

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