Schedulers

Ask about this topic

Momentum

16 papers in the last four weeks, up 100% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 93

All topics
CardsList

  1. Robust Non-Clairvoyant Scheduling with Classification Models

    Oct 1, 2026Anthony Dugois, Vincent Fagnon, Giorgio LucarelliJob Shop SchedulingSchedulers

    Univ. Marie et Louis Pasteur, CNRS, institut FEMTO-ST, F-25000 Besançon, France · Université de Lorraine, LCOMS, Metz, France

  2. Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions

    Sep 29, 2026Hong Je-Gal, Hyun-Suk LeeSchedulersSchedule

    Department of Artificial Intelligence and Robotics, Sejong University, South Korea · Artificial Intelligence Robotics Institute (AIRI), Sejong University, South Korea

  3. Before Agents Act: Assurance-Aware Semantic Scheduling for Evidence Acquisition in Distributed Systems

    Sep 28, 2026Jun He, Deying YuSchedulersDistributed Optimization

  4. Quantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration

    Sep 23, 2026An N. H. Phan, Dang Van Huynh, Muhammad Usman +1SchedulersOffline Reinforcement Learning

    Faculty of Computer Networks and Communications, University of Information Technology, Vietnam National University, Ho Chi Minh City, Quarter 34, Linh Xuan Ward, Ho Chi Minh City, Vietnam · Faculty of Information Technology, Monash University, Clayton, Victoria, Australia · Quantum Systems Team, CSIRO, Clayton, Victoria, Australia

  5. Gaussian Flow-Matching Schedules: Implications for Sampling and Training

    Sep 22, 2026Arsène Claustre, Hugo Negrel, Claire Boyer +2Time DiscretizationVariance

    DI-ENS · CNRS, ENS Paris · DMA, CFM +6

  6. Adaptive Determinantal Client Scheduling in Federated Learning

    Sep 20, 2026Wen Xu, Ben Liang, Gary Boudreau +1Federated LearningSchedulers

    University of Toronto, Canada · Ericsson, Canada

  7. The Operable Pareto Front: Distilling Offline Search into Run-Time Control for Multi-Objective UAV Edge-Computing Scheduling

    Sep 16, 2026Qiao Liao, Zhiyong Feng, Bin Wu +1SchedulersEdge Devices

    School of Computer Science and Technology, Tianjin University, Tianjin, China · School of Computer Software, Tianjin University, Tianjin, China · School of Information Science and Engineering, Shandong Agriculture and Engineering University, Shandong, China

  8. Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning

    Sep 14, 2026Yuxuan Sun, Yuxuan Bai, Tan Chen +2Federated LearningReplay-Based Continual Learning

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · Department of Electronic Engineering, Tsinghua University, Beijing 100084, China, and the Beijing National Research Center for Information Science and Technology

  9. MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling

    Sep 14, 2026Tiangang Li, Shi Ying, Xiangbo Tian +2SchedulersSchedule

    School of Computer Science, Wuhan University, Wuhan 430072, China · School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

  10. HiGFRL: Hierarchical Graph Fusion-Driven Reinforcement Learning for Dependency-Aware Task Scheduling in Heterogeneous Cloud

    Sep 14, 2026Tiangang Li, Shi Ying, Xiangbo TianSchedulersOffline Reinforcement Learning

    School of Computer Science, Wuhan University, Wuhan 430072, China

  11. Cloud Workflow Scheduling Based on Graph Attention-Driven Hierarchical Reinforcement Learning

    Sep 14, 2026Zongjin Li, Shaohan Feng, Chunxi Yang +1SchedulersHierarchical Reinforcement Learning

    Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China · School of Information and Electronic Engineering (Sussex Artificial Intelligence Institute), Zhejiang Gongshang University, Hangzhou 310018, China

  12. NeuroFlex: Lossless Element-Level ANN-SNN Co-Execution for Efficient Sparse Inference

    Sep 12, 2026Varun Manjunath, Pranav Ramesh, Gopalakrishnan SrinivasanSpiking Neural NetworksNeuroflex

    Electrical Engineering Indian Institute of Technology Madras Chennai, India · Computer Science and Engineering Indian Institute of Technology Madras Chennai, India

  13. Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows

    Sep 12, 2026Bochao Feng, Jianjiang Li, Haojie Wang +4Agentic Workflow DesignSchedulers

    University of Science and Technology Beijing Beijing, China · Qiyuan Laboratory Beijing, China · Tsinghua University Beijing, China

  14. Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems

    Sep 9, 2026Innocenzo Fulginiti, Antonio Tudisco, Salvatore Zammuto +7Quantum CircuitsSchedulers

    Technical University of Munich, Munich, Germany · Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy · MQSC, Garching near Munich, Germany +1

  15. Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling

    Sep 8, 2026Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +2Federated LearningPower Allocation

    IoT Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281 USA · Institute for Intelligent Networked Systems, Northeastern University London, London, E1 8PH, UK +2

  16. PLATOS: A Power and Latency-Aware Task-Oriented Scheduling Strategy for Healthcare IoT in Fog Computing

    Sep 7, 2026Mohammed Alaa Ala'anzy, Zulfiqar Ahmad, Zhanar MukashSchedulersEdge Platforms

  17. PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing

    Sep 3, 2026Yangshuo Qi, Chenwei Wang, Zihan Shen +1SchedulersEdge Platforms

    Beijing University of Posts and Telecommunications, Beijing, China · Google, Mountain View, USA · NanJing University, NanJing, China

  18. Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association

    Sep 2, 2026Mehdi Zafari, Iman Mohammadi, A. Lee SwindlehurstIntegrated Sensing And CommunicationUncoupled Learning

    University of California Irvine · Irvine, CA, USA

  19. T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

    Aug 31, 2026Yuanqiang Yu, Tianpei Yang, Yongliang Lv +2Multi-Turn Reinforcement LearningRobotic Manipulation

    College of Intelligence and Computing Tianjin University Tianjin, China · Department of Computing Science University of Alberta and Alberta Machine Intelligence Institute Edmonton, Canada

  20. Accelerating Unified Multimodal Models with Core-Expansion Routing and Unified Computation Scheduling

    Aug 29, 2026Wengyi Zhan, Chenqian Yan, Songwei Liu +2Multimodal ModelFast Inference

    1Xiamen University · 2ByteDance

  21. Implicit Q-learning-bootstrapped ant colony optimization for maritime moving-target observation scheduling with agile satellites

    Aug 25, 2026He Wang, Junyu Wu, Yeye Liu +5Multiple Satellite SystemsSchedulers

    College of Intelligent Science and Engineering, Harbin Engineering University, Harbin 150001, China · School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China · School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China

  22. The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity

    Aug 13, 2026Martin J. WainwrightDiffusion SamplingGeometric Constraints

    Lab for Information and Decision Systems · Statistics and Data Science Center · EECS and Mathematics

  23. PROVE-RT: Generating Mechanized Theorem Prover Scripts for Real-Time Systems using LLMs

    Aug 13, 2026Sadat Shahriyar, Shareef Ahmed, Abdullah Al ArafatTheorem ProvingSchedulers

    Florida International University · University of South Florida

  24. MARA: Flow-Matching-Guided Multi-Agent Resource Allocation for Computational Resource Efficient Learning

    Aug 10, 2026Hanye Zhao, Muning Wen, Yong Yu +1SchedulersMulti-Agent Reinforcement Learning

    Shanghai Jiao Tong University

  25. Multi-Agent Reinforcement Learning for Online Traffic Scheduling in Time-Sensitive Application

    Aug 5, 2026Marcos Carvalho, Fatih Temiz, Shavbo Salehi +2SchedulersMulti-Agent Reinforcement Learning

    Universidade Federal de Minas Gerais, Brazil · School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

  26. Architectural Implications of Agentic AI Workflows

    Aug 5, 2026Jirong Yang, Peizhe Liu, Chaojie Zhang +1Agentic WorkflowsAgentic Inference

    The University of Texas at Austin · Microsoft Azure

  27. GVCCTurbo: Rate-Compute Quality Scheduling for Codebook Driven Generative Compression

    Aug 4, 2026Ziyue Zeng, Dingjie Peng, Xun Su +1Ultra-Low BitratesSchedulers

    Waseda University, Tokyo, Japan

  28. Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization

    Aug 2, 2026Furkan Bagci, Busra Tegin, Mohammad Kazemi +1Federated LearningPower Allocation

    Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607 USA · IETR-UMR CNRS 6164, Centrale-Supélec Rennes Campus, Cesson-Sévigné 35576, France · Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, U.K. +1

  29. MDGAM-Based Cooperative Task Scheduling for Communication-Constrained Distributed Multi-Agent Systems

    Aug 1, 2026Licheng Wang, Mingtao Huang, Yuan ShenMulti-Agent Reinforcement LearningMulti-Robot Systems

    Department of Electronic Engineering, and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China

  30. PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems

    Jul 29, 2026Kaiwen Jiang, Siya Xu, Ziyue Zhu +3Power SystemsData Centers

    State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications · Information and Communication Branch, State Grid Liaoning Electric Power Co., Ltd. · College of Computing and Data Science, Nanyang Technological University

  31. Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything

    Jul 29, 2026Haijun Zhang, Zhuojun Duan, Zijun Wu +2SchedulersInternet Of Thing

    Hebei Key Laboratory of Space-Air-Ground Intelligent Communication and Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing, Beijing, China

  32. ServerlessT2I: Efficient Text-to-Image Workflow Serving on a Serverless Platform

    Jul 29, 2026Xiaoxiao Jiang, Suyi Li, Sheng Yao +5Text-To-ImageCloud

    Hong Kong University of Science and Technology · Alibaba Group

  33. Incast-Free MoE Rate-Based Scheduling

    Jul 28, 2026Evyatar Cohen, Jose Yallouz, Alexander Shpiner +3SchedulersMixture-Of-Expert Inference

    Technion · Nvidia · UC Berkeley

  34. Tri-Manual Visuomotor Imitation Learning of Robot Policies

    Jul 28, 2026James Zhao, Mingyuan Ba, Weiming ZhiTeleoperationMotion Imitation

    School of Computer Science and 2Australian Center For Robotics, The University of Sydney, Australia · College of Connected Computing, Vanderbilt University, TN, USA

  35. Not All EEG Moments Are Equal: Position-Adaptive Time Scheduling for EEG Generation

    Jul 25, 2026Boheng Liu, Ziyu Li, Chenghua Duan +2ElectroencephalographyConditional Flow Matching

    School of Computer Science and Technology Beijing Institute of Technology Beijing, China

  36. QScheduler: Adaptive Gradient Sampling for Zeroth-Order On-Device Training on INT8 NPUs

    Jul 21, 2026Victor Felipe Domingues Do Amaral, Pierre Demaj, Erwan Libessart +3Zeroth-Order OptimizationNeural Processing Units

    GeePs · STMicroelectronics, France · GeePs, CNRS, CentraleSup´elec, Universit´e Paris-Saclay, Sorbonne Universit´e, France

  37. Multi-Agent Scheduling with LLM-Assisted Contract Net Negotiation for Stream Processing in Mobile Edge Computing

    Jul 19, 2026Sabeur Lajili, Zaki BrahmiEdge DevicesSchedulers

    University of Sousse, Tunisia

  38. Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis

    Jul 13, 2026Anujaya Vijayakumar, Radu Timofte, Dmitry IgnatovNeural Architecture SearchAdaptive Curriculum

    Computer Vision Lab, CAIDAS & IFI, University of Würzburg, Germany

  39. BlockServe: Block-Grained Continuous Batching for High-Throughput Diffusion LLM Serving

    Jul 9, 2026Yuanjie Zhu, Liangwei Yang, Ke Xu +4Large Language Model ServingSchedulers

    University of Illinois Chicago, USA

  40. Quota Marketplace: Dynamic Pricing for Efficient Allocation of ML Training Resources

    Jul 9, 2026Balasubramanian Sivan, Renato Paes Leme, Mihai Tiuca +6SchedulersDynamic Pricing

    Google · Drexel University

  41. SMetric: Rethink LLM Scheduling for Serving Agents with Balanced Session-centric Scheduling

    Jul 9, 2026Jiahao Wang, Kaizhan Lin, Kaixi Zhang +7SchedulersLarge Language Model Serving

    Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University · ShanghaiTech University · Alibaba Group

  42. Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures

    Jul 9, 2026Hafsa Mateen, Radu Timofte, Dmitry IgnatovBatchNeural Architecture Search

    Computer Vision Lab, CAIDAS & IFI, University of Würzburg, Germany

  43. Agentic-V2X: Small Language Model Agents for Deadline-Aware V2X Scheduling in 5G/6G Networks

    Jul 5, 2026Gerasimos Papanikolaou-Ntais, Alexandros Kaloxylos, Athanasios KanavosSchedulersLarge Language Model Policy Optimization

    Department of Informatics, University of Piraeus, 185 34 Piraeus, Greece · Department of Informatics and Telecommunications, University of Peloponnese, 221 31 Tripoli, Greece

  44. Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice

    Jun 21, 2026Li Kong, Qi Qi, Yinyu Ye +1Large Language Model ServingSchedulers

    Gaoling School of Artificial Intelligence Renmin University of China Beijing, China · Department of Management Science and Engineering Stanford University Stanford, CA 94305-4026 · Department of Industrial Engineering and Decision Analytics HKUST Hongkong, China

  45. Deep RL for Fast Long-Horizon Operations Scheduling on NASA's Carruthers Geocorona Observatory Mission

    Jun 20, 2026Alex Zhang, Jackson Craig, Lara WaldropSpacecraftSchedulers

    Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, IL, USA

  46. SwarmX: Agentic Scheduling for Low-Latency Agentic Systems

    Jun 19, 2026Yeqi Huang, Yanwei Ye, Guomin Chen +8SchedulersSchedule

    University of Edinburgh United Kingdom · Tencent China

  47. Optimal Scheduling in a Question-Answering Forum of Knowledge Workers

    Jun 18, 2026Rohit Negi, Mustafa YilmazSchedulersCrowdsourced Framework

    Carnegie Mellon University

  48. Beyond Prediction: Tail-Aware Scheduling for LLM Inference

    Jun 16, 2026Yueying Li, Yuanfan Chen, Jiayang Chen +6Large Language Model ServingPreemption

    Cornell University, Computer Science Department, NY, USA · Microsoft Azure System Research, WA, USA · Cornell University, Electrical and Computer Engineering Department, NY, USA +2

  49. Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric Thresholds

    Jun 16, 2026Hao Liang, Cheng Tang, Yunzong XuQueue ControlSchedulers

    University of Illinois Urbana–Champaign

  50. Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling

    Jun 14, 2026Yujin Park, Haejun Chung, Ikbeom JangRankingSchedulers

    Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea

  51. MADAR: An Address-Free Processor

    Jun 14, 2026Mohamed Amine BergachSchedulersHierarchical Register Transfer Level Generation

    Illumina San Diego, California, USA

  52. OSDAG: Online Scheduling for Efficient Multi-Robot Collaboration

    Jun 13, 2026Thanh Nguyen Canh, Thang Tran Viet, Phuc Van Dinh +2Multi-Robot SystemsSchedulers

    School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, 923-1211, Ishikawa, Japan. · University of Engineering and Technology, Vietnam National University, 10000, Hanoi, Vietnam. · Department of Robotics, Hanyang University, Ansan, 15588, Gyeonggi, Korea.

  53. Toward Proactive RF Charging Scheduling: Generative AI for Decision Support

    Jun 9, 2026Amirhossein Azarbahram, Osmel M. Rosabal, David Ernesto Ruiz-Guirola +3Electric VehiclesSchedulers

    Centre for Wireless Communications (CWC), University of Oulu, Finland · School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada · Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong

  54. Importance-Aware Scheduling for High-Dimensional Hyperparameter Optimization

    Jun 8, 2026Ruinan Wang, Ian Nabney, Mohammad GolbabaeeGeneral Grid Search FrameworkHigh-Dimensional

    University of Bristol, Bristol, United Kingdom

  55. MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics

    Jun 8, 2026Ahmet Gunhan Aydin, Elif Tugce CeranMulti-Robot SystemsSchedulers

    Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, 06800, Turkey · Aselsan Inc., Ankara, Turkey

  56. EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms

    Jun 2, 2026Guilin Zhang, Chuanyi Sun, Kai Zhao +3Reinforcement Learning From Human FeedbackSchedulers

    Workday AI Research · The George Washington University, Washington, DC, USA.

  57. AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling

    Jun 2, 2026Maxime Elkael, Michele Polese, Yunseong Lee +2Power AllocationOrthogonal Frequency-Division Multiplexing

    Institute for Intelligent Networked Systems, Northeastern University (NU), Boston, MA, USA. · SoftBank Corp. (SB), Japan.

  58. DriftSched: Adaptive QoS-Aware Scheduling under Runtime Token Drift for Multi-Tenant GPU Inference

    Jun 2, 2026Kathiravan PalaniappanSchedulersWorkload

    Independent Researcher (University of Colorado Colorado Springs Alumni)

  59. Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler

    Jun 1, 2026Dimitris Oikonomou, Nicolas LoizouStochastic Gradient DescentSharpness-Aware Minimization

    Mathematical Institute for Data Science (MINDS), Johns Hopkins University, Baltimore, MD, USA · Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA · Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA

  60. Edge-Based QoS-Aware Adaptive Task Placement: A Closed-Loop Control in Multi-Robot Systems

    May 30, 2026Thien Tran, Jonathan Kua, Thuong Hoang +3Multi-Robot SystemsSchedulers

    Deakin University, Australia · RMIT University, Vietnam · Zhejiang University, China +1