| 1 | Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning | Yuxuan Sun, Yuxuan Bai, Tan Chen +2 | cs.LG | 2026-09-14 |
| 2 | What a gated sensing pipeline never looks at: bandwidth reduction and the misses behind it | Raghu Venkat, Tricha Anjali | cs.CV | 2026-09-14 |
| 3 | A Game-Theoretic Framework for Incentive-Compatible AI training Under Renewable-Energy Constraints | Konstantinos Varsos, Ramin Khalili, Adamantia Stamou +2 | cs.ET | 2026-09-14 |
| #4 | MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving | Tiancheng Zhang, Yulin Chen, Yunfeng Zhao +3 | cs.AI | 2026-09-14 |
| #5 | Validating Hybrid-State Cache Recovery for GLM-5.3-Flash with vLLM and LMCache | Frank Li | cs.DC | 2026-09-14 |
| #6 | HiGFRL: Hierarchical Graph Fusion-Driven Reinforcement Learning for Dependency-Aware Task Scheduling in Heterogeneous Cloud | Tiangang Li, Shi Ying, Xiangbo Tian | cs.LG | 2026-09-14 |
| #7 | High-Probability Nash Regret for Decentralized Learning in Markov $α$-Potential Games: Episodic and Fully Online Asynchronous Algorithms with Applications to Markov Congestion Games | S. Rasoul Etesami | cs.LG | 2026-09-14 |
| #8 | Cloud Workflow Scheduling Based on Graph Attention-Driven Hierarchical Reinforcement Learning | Zongjin Li, Shaohan Feng, Chunxi Yang +1 | cs.LG | 2026-09-14 |
| #9 | CrossDistill: Balancing Quality and Diversity via Trajectory-Level Hybrid Few-Step Distillation | Yuxi Liu, Haoyu Li, Yixiang Cai +8 | cs.CV | 2026-09-13 |
| #10 | Physically Partitioned KVCache Format for CPU--GPU Load Balancing in MoE Inference | Enda Yu, Dezun Dong, Xiangke Liao | cs.DC | 2026-09-13 |
| #11 | Surrogate-Assisted Genetic Programming with Phenotypic Characterisation in Dynamic Multi-Mode Project Scheduling | Yuan Tian, Yi Mei, Mengjie Zhang | cs.NE | 2026-09-13 |
| #12 | Formal Properties of Language as Constraints on Neural Dynamics | Elliot Murphy | cs.CL | 2026-09-13 |
| #13 | Partition-Aware Scheduling for Mobile Heterogeneous Inference Co-Execution | Zhuojin Li, Marco Paolieri, Leana Golubchik | cs.DC | 2026-09-13 |
| #14 | HQARRF: Hierarchical Q-learning and Force-aware Routing for Multi-Charger Scheduling in Wireless Rechargeable Sensor Networks | Liang-Ching Tao, Pi-Chung Wang | cs.NI | 2026-09-12 |
| #15 | LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems | Yang Zhang, Lindong Xie, Chongyu Wang +3 | cs.AI | 2026-09-12 |
| #16 | HarnessBandit: Joint Learnability-Transferability Scheduling for Multi-Harness Agentic Reinforcement Learning | Hongliang Wei, Xiaobing Tu, Yinggui Wang +6 | cs.LG | 2026-09-12 |
| #17 | Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction | Ashfaq Ali Shafin, Khandaker Mamun Ahmed | cs.LG | 2026-09-12 |
| #18 | MAPLE: Memory-Augmented Planning with Language and Evolution | Kesheng Chen, Yamin Hu, Wenjian Luo | cs.AI | 2026-09-10 |
| #19 | Memory Compression for High-Fanout Agent Sandboxes | Mengming Li, Ceyu XU, Qijun Zhang +4 | cs.AI | 2026-09-10 |
| #20 | Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models | Ken Chen, Maneesha Perera, Wei Wang +3 | cs.LG | 2026-09-10 |
| #21 | Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows | Bochao Feng, Jianjiang Li, Haojie Wang +4 | cs.AI | 2026-09-10 |
| #22 | BrainTaskonomy: Learning How to Pretrain and What to Transfer in fMRI Foundation Models | Junfeng Xia, Wenhao Ye, Junxiang Zhang +3 | cs.CV | 2026-09-09 |
| #23 | Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning | Mehrnaz Mofakhami, Ananya Sahu, Alejandro R. Salamanca +5 | cs.CL | 2026-09-09 |
| #24 | Active Adaptation, Not Static Defense: Temporal Dynamics of Preventative Steering in Adversarial Fine-Tuning | Jing Guan, Yachao Yang, Zhaoliang Liu +3 | cs.CL | 2026-09-09 |
| #25 | Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems | Innocenzo Fulginiti, Antonio Tudisco, Salvatore Zammuto +7 | quant-ph | 2026-09-09 |
| #26 | RobustSGPO: Search-Space Control for Agent Harness Evolution | Zibo Zhao, Jijun Shi, Mo Zhou +9 | cs.AI | 2026-09-09 |
| #27 | Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling | Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +2 | cs.IT | 2026-09-08 |
| #28 | BrachistoneLR: A Brachistochrone-Inspired Learning-Rate Schedule and a Controlled Benchmark of Scheduling Policies | Md. Sadekur Rahman Roni, Md. Jalal uddin Chowdhury, Moutusi Dash Nimi | cs.CV | 2026-09-08 |
| #29 | Deadline-Aware Adaptive Prefill Chunking for Efficient Large Language Model Serving | Siyu Song, Qi Bai, Jinbo Hao +3 | cs.CL | 2026-09-07 |
| #30 | The OCUDU dApp Platform: An Open Runtime and E3 Interface for Real-Time AI-RAN | Timothy O'Shea, Matthew Pennybacker, Andriy Kharchenko | cs.NI | 2026-09-07 |
| #31 | Noēsis: Deterministic-First Retrieval with Two-Tier Context Hydration for Factuality-Critical Queries on Small Local Models | Nicola Cogotti | cs.IR | 2026-09-07 |
| #32 | Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing | Weizhe Wang, Yitong Zhang, Yao Zhang +4 | cs.CR | 2026-09-07 |
| #33 | PLATOS: A Power and Latency-Aware Task-Oriented Scheduling Strategy for Healthcare IoT in Fog Computing | Mohammed Alaa Ala'anzy, Zulfiqar Ahmad, Zhanar Mukash | cs.DC | 2026-09-07 |
| #34 | CAROL: Context-Aware Online Learning for Fuzzer Scheduling | Zirui Liu, Mengfan Xu, Juan Zhai +2 | cs.SE | 2026-09-06 |
| #35 | Simulating the Marginal Green Contribution of AI Modules in a Smart-Agriculture Platform: Evidence from Two Monte Carlo Experiments | Zhaoyang Li, Ruijie Zhang, Zhaoji Sun +1 | cs.AI | 2026-09-06 |
| #36 | Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool | Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar +6 | cs.PL | 2026-09-04 |
| #37 | FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification | Maryam Moradpour, Anne-Christin Hauschild | cs.LG | 2026-09-04 |
| #38 | TROVE: Adaptive Agent Skill Orchestration via Trace-Grounded Route Validation and Editing | Tianxing Wang, Mingming Zhao, Shuai Huang +4 | cs.AI | 2026-09-04 |
| #39 | Coupled Control and Wireless World Models for Resilient Remote Robotic Control | H. P. Madushanka, Sumudu Samarakoon, Mehdi Bennis | cs.RO | 2026-09-04 |
| #40 | Sustainable Edge Vision via Empirically Calibrated DVFS: Eliminating Thermal Throttling on Passively Cooled Hardware | Aayush Marasini, Zhaoxian Zhou | cs.AR | 2026-09-04 |
| #41 | Multi-step Proximal Policy Improvement in Offline Reinforcement Learning | Soohyun Choi, Seonvin Cho, Songnam Hong | cs.LG | 2026-09-03 |
| #42 | Tree-Structured Vector Quantization For Efficient And Progressive Image Compression | Xinkun Wang, Tianyi Xu, Qingyu Luo +4 | cs.CV | 2026-09-03 |
| #43 | Building Pretraining Data for World Models: An Unreal Engine-Based Pipeline for Action-Conditioned Video Generation | Haoyu Wang, Songchun Zhang, Haoran Li +3 | cs.CV | 2026-09-03 |
| #44 | PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing | Yangshuo Qi, Chenwei Wang, Zihan Shen +1 | cs.AI | 2026-09-03 |
| #45 | Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association | Mehdi Zafari, Iman Mohammadi, A. Lee Swindlehurst | cs.NI | 2026-09-02 |
| #46 | UTP-Bench: Uncertainty-aware Travel Planning Benchmark | Etcharla Revanth Rao, Priyanshu Karmakar, Shubhojit Mallick +3 | cs.AI | 2026-09-02 |
| #47 | MeanField Surrogate Modeling for Scalable Runtime Scheduling of Concurrent Heterogeneous AI Inference on Shared GPUs | Youssef Ennouri, Soonhoi Ha | cs.DC | 2026-09-02 |
| #48 | CAHR-Net: Condition-Adaptive Hysteresis Reconstruction for Compact and Interpretable Magnetic Core Loss Modeling | Chunye Gong, Cong Yao | cs.LG | 2026-09-02 |
| #49 | TimeSteer: Inference-Time Speech Scheduling in Joint Audio-Visual Diffusion Models | Chao Zhou, Yiling Chen, Qi Chu +3 | cs.CV | 2026-09-01 |
| #50 | Neural Symbollic Regression Using Deep Learning and Sparse Modelling | Ravi Kumar U, Sumitra S | cs.LG | 2026-09-01 |