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8 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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Latest papers 39

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  1. Task-Oriented Communications for Edge-Assisted Multi-View Localization

    Sep 28, 2026Zhengru Fang, Huanhuan Lou, Senkang Hu +5Drone-View Geo-LocalizationMulti-Uav

    Hong Kong JC STEM Lab of Smart City and the Department of Computer Science, City University of Hong Kong, Hong Kong · School of Cyber Science and Technology, Beihang University, Beijing, China

  2. MaskCoFT: Masked Co-Adaptive Fine-Tuning for Memory-Efficient MoE Inference

    Sep 28, 2026Junfeng Wu, Zehao Fan, Hadjer Benmeziane +3Mixture-Of-ExpertsParameter-Efficient Fine-Tuning Methods

    Department of Industrial and Systems Engineering, Rensselaer Polytechnic Institute · Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute · IBM Research

  3. EfficientAgent: What Makes KV Cache Offloading Work for Concurrent Agents?

    Sep 27, 2026Kunming Shao, Jierun Chen, Jiangnan Yu +7Kv-Cache ManagementOffloading

    The Hong Kong University of Science and Technology · Huawei Technologies Ltd. · The University of Hong Kong +1

  4. OLED-MoE: Accelerating MoE-Based dLLM Inference via Inter-Iteration Locality-Aware Expert Offloading

    Sep 27, 2026Jingyuan Xiao, Jiayue Wang, Yitao Hu +7Mixture-Of-Expert InferenceOffloading

    Tianjin University, Tianjin, China · Tianjin University Tianjin, China

  5. TierKV: Long-Context On-Device LLMs via Predictive Multi-Tier KV Caching

    Sep 18, 2026Zhihao Shu, Md Musfiqur Rahman Sanim, Jie Hu +4Kv-Cache ManagementDepthweave-Kv

    University of Georgia Athens, GA, USA · Peking University Beijing, China · Western Digital Research San Jose, CA, USA

  6. Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistants

    Sep 17, 2026Sebastian Maier, Kai Schwabe, Manuel Schneider +1MetacognitionOffloading

    LMU Munich & Munich Center for Machine Learning (MCML), Germany · LMU Munich, Germany

  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. SeqMoE: Toward Full-Load Performance via Predictive and Graph-Compatible MoE Offloading

    Sep 14, 2026Zihan Wang, Yuqi Wang, Lei Gong +5Mixture-Of-Expert InferenceOffloading

    University of Science and Technology of China Hefei, China · Suzhou Institute for Advanced Research, University of Science and Technology of China Suzhou, China

  9. SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center

    Sep 3, 2026Uday Vallabhaneni, Cassie L. Cagwin, David J. WildLarge Language Model AgentsCybersecurity

    Luddy School of Informatics, Computing and Engineering · Indiana University, Bloomington, IN, USA

  10. Update for Decisions, Not Freshness: Goal-Oriented Status Updating and Selective Offloading at the Network Edge

    Sep 1, 2026Jianpeng Qi, Qiyang Zhang, Chao Liu +5Edge PlatformsOffloading

    IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. XX, NO. X, MONTH YYYY 1

  11. Summarize First, Download Later: Onboard VLMs for Bandwidth-Efficient Earth Observation

    Aug 7, 2026Junghwan Park, Sangcheol Sim, Woojin Cho +1Trustworthy Earth Observation DecisionsEarth Observation

    TelePIX · 07330, Seoul, South Korea

  12. Delivery, Not Storage: Cue-Anchored Working Memory as a Harness Property for Coding Agents

    Jul 23, 2026Swapnanil SahaLong-Term Agent MemoryWorking Memory

    Independent

  13. Active Beyond-Diagonal RIS Empowered Heterogeneous Edge Computing: A Distributional Reinforcement Learning Approach

    Jul 14, 2026Tianyu Pang, Hongyu LiPower AllocationReconfigurable Intelligent Surfaces

    Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

  14. Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer Devices

    Jul 11, 2026Yangyijian Liu, Hongyi Ye, Mingyang Li +1Cpu-Gpu Hybrid DesignsLLM Inference Optimization

    School of Computer Science, Nanjing University Nanjing, China

  15. Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference

    Jul 6, 2026Guanyu Cai, Ruiming Tian, Lang Yang +4Neural Processing UnitsLLM Inference Optimization

    Tsinghua University · Beijing Jiaotong University

  16. Fine-Grained Computation Offload for Off-the-Shelf Servers in Tens of Lines

    Jul 2, 2026Bojie LiOffloading

    Pine AI

  17. WiSP: A Working-Set View of Mixture-of-Experts Serving on Extremely Low-Resource Hardware

    Jun 20, 2026Jiamu Zhang, Liang Wu, Mayank Darbari +1Mixture-Of-Expert InferenceMixture-Of-Experts

    Nokia, Sunnyvale, CA 94085, USA

  18. Extending Responsibility-Sensitive Safety for the Assessment of Offloaded Autonomous Driving Services

    Jun 5, 2026Robin Dehler, Aryan Thakur, Michael BuchholzAutonomous DrivingOffloading

    Institute of Measurement, Control and Microtechnology, Ulm University, Albert-Einstein-Allee 41, 89081 Ulm, Germany

  19. Individual Gain, Collective Loss: Metacognitive Adaptation in AI-Assisted Creativity

    Jun 4, 2026Anna MikedaCreativityHuman-Ai Collaboration

    Glass Umbrella

  20. Offloading Score: Measuring AI Reliance Through Counterfactual Workflows

    May 28, 2026Vishakh Padmakumar, Lujain Ibrahim, Zora Zhiruo Wang +3Cognitive LoadOffloading

    Stanford University · University of Oxford · Carnegie Mellon University +1

  21. Knowledge Offloading: Decomposing LLMs into Sparse Backbones and Memory Modules

    May 27, 2026Karim Galliamov, Rochelle Choenni, Ivan TitovOffloadingLow-Rank Adaptation Adapters

    University of Amsterdam · University of Edinburgh

  22. TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload

    May 19, 2026Zhiben Chen, Youpeng Zhao, Yang Sui +2Efficient InferenceDiffusion Language Models

    University of Central Florida · Rice University

  23. DAG-Based QoS-Aware Dynamic Task Placement for Networked Multi-Stage Control Pipelines

    May 19, 2026Thien Tran, Jonathan Kua, Thuong Hoang +3Perception PipelineOffloading

    Deakin University, Australia · RMIT University, Vietnam · University of Navarra, Spain +1

  24. Towards Multi-Model LLM Schedulers: Empirical Insights into Offloading and Preemption

    May 19, 2026Mert Yildiz, Pietro Spadaccino, Alexey Rolich +2PreemptionOffloading

    Sapienza University of Rome, Rome, Italy

  25. Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach

    May 18, 2026Yaorong Huang, Jingtao Luo, Xuechao WangEdge DevicesOffloading

    ∗The Hong Kong University of Science and Technology (Guangzhou) · †Chengdu Neusoft University

  26. ChunkFlow: Communication-Aware Chunked Prefetching for Layerwise Offloading in Distributed Diffusion Transformer Inference

    May 11, 2026Han Meng, Danny Willow Liu, Dong LiOffloadingPreemption

    University of California, Merced · University of Chicago · University of California, Merced and Yotta Labs +1

  27. GELATO: Generative Entropy- and Lyapunov-based Adaptive Token Offloading for Device-Edge Speculative LLM Inference

    May 11, 2026Zengzipeng Tang, Yuxuan Sun, Wei Chen +2LLM Inference OptimizationEdge Devices

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  28. ORICF -- Open Robotics Inference and Control Framework

    May 10, 2026Andrés Meseguer Valenzuela, Luís Miguel Bartolín ArnauFast InferenceOffloading

    Instituto Tecnológico de Informática (ITI), Paterna, Spain

  29. Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum

    May 10, 2026Akuen Akoi Deng, Eimantas Butkus, Alfreds Lapkovskis +1Edge DevicesEdge Platforms

    Department of Computer and Systems Sciences, Stockholm University, Borgarfjordsgatan 12, Stockholm, Sweden

  30. Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety Alignment

    May 8, 2026Zhixue Song, Boyan Han, Yiwei Wang +1Recent Vision-Language ModelsMultimodal Large Language Models

    1AGI Lab, Westlake University, China · University of California, Merced, USA

  31. Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV

    May 6, 2026Maoxin Ji, Qiong Wu, Pingyi Fan +4Multi-UavPower Allocation

    School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China · School of Information Engineering, Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications, Nanchang University, Nanchang 330031, China · Department of Electronic Engineering, State Key laboratory of Space Network and Communications, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China +4

  32. DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference

    Apr 29, 2026Bodon Jeong, Hongsu Byun, Youngjae Kim +4LLM Inference OptimizationOffloading

    1Sogang University, Seoul, Republic of Korea · 2Florida State University, FL, USA · 3Samsung Electronics Co.

  33. QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks

    Apr 28, 2026Yongtao Yao, Yao Yang, Haorui Shi +3Edge DevicesOffloading

  34. Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading

    Apr 19, 2026Jianming Tong, Hanshen Xiao, Krishna Kumar Nair +5Virtual RealityPrivacy-Preserving Framework

    Georgia Institute of Technology, Atlanta, Georgia, USA · Massachusetts Institute of Technology, Cambridge, Massachusetts, USA · Google, Mountain View, California, USA +4

  35. Know When to Trust the Skill: Delayed Appraisal and Epistemic Vigilance for Single-Agent LLMs

    Apr 17, 2026Eren UnluMetacognitionSingle-Agent

    Globeholder Paris, France

  36. TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models

    Apr 16, 2026Yi Zhao, Yajuan Peng, Cam-Tu Nguyen +4Large Reasoning ModelsInference Latency

    AGI Institute, School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Shanghai Key Laboratory for Intelligent Information Processing, Fudan University · State Key Laboratory for Novel Software Technology, Nanjing University +2

  37. The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading

    Apr 3, 2026Michael Caosun, Sinan AralArtificial Intelligence DeploymentArtificial Intelligence Systems

  38. Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters

    Apr 7, 2025Zonghang Li, Tao Li, Wenjiao Feng +8LLM Inference OptimizationOffloading

    MBZUAI · UESTC · City University of Hong Kong +1

  39. FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving

    Date pendingQingxiu Liu, Yongchao He, Runhan Jiang +4Mixture-Of-Expert InferenceMixture-Of-Experts

    CUHK · Unaffiliated · SCITIX +1