| 2026 | Scene Complexity-Aware Adaptive Batch Separation for Robust Camera-based BEV Perception. | Yong Chan Lee, Eun-Kyu Lee, Jiwoo Lee |
| 2026 | Data-Free Early Stopping for Federated Learning with Consensus of Local Task Vectors. | Youngjoon Lee, Hyukjoon Lee, Seungrok Jung, Andy Luo, Jinu Gong, Yang Cao, Joonhyuk Kang |
| 2026 | PR-Reduce: Heterogeneity-Aware Proportional Allreduce for Distributed Training. | Yi-Ching Kuo, Kate Ching-Ju Lin |
| 2026 | Silent Data Corruption in Distributed Genai-Augmented Data Pipelines: an Empirical Study of Hallucination-Induced Failure Propagation. | Chalapathi Koneni, Sanjay Lokula |
| 2026 | Silent Data Corruption in Distributed Genai-Augmented Data Pipelines: An Empirical Study of Hallucination-Induced Failure Propagation. | Chalapathi Koneni, Sanjay Lokula |
| 2026 | Hash-Based Asynchronous MVBA with Optimal Complexity and Near-Optimal Resilience. | Jovan Komatovic, Joachim Neu, Tim Roughgarden |
| 2026 | Reliable Federated Fine-Tuning for Multilingual ASR. | Shivani Sanjay Kolekar, Md Ilias Bappi, Kyungbaek Kim |
| 2026 | AURORA-Q: Asynchronous Unified Resource Optimizer for Quantum Simulation on HPC System. | Changjong Kim, Alex Sim, Kesheng Wu, Houjun Tang, Yongseok Son, Jisung Park, Sunggon Kim |
| 2026 | Falconf: Configuration Error Diagnosis via Log Sequence Learning and Automated Misconfiguration Injections. | Youyang Kim, Sahil Suneja, Yunja Choi, Young-Woo Kwon, Byungchul Tak |
| 2026 | Lucid: Lidar-Based Uav Classification and Detection for Airspace Surveillance. | Deokjin Kim, Jeongyeup Paek, Saewoong Bahk |
| 2026 | Federated Digital Twin-Driven Foundation Models for Energy-Aware Scheduling in Edge Data Centers. | Andy Yuen-Khai Khoo, Yen-Hsun Meng, Cheng-Hou Chou, Chia-Hsuan Wu, Mu-Chun Su, Yi-Zeng Hsieh |
| 2026 | RAGNAROS: Large-Scale Regex Processing Acceleration with Neural Networks for DPI. | Sebin Jo, Taejune Park |
| 2026 | Exploring the Feasibility and Performance of Distributed Llm Serving on Consumer-Grade Gpus. | Lewei Jin, Yang Liu, Yongqi Chen, Xiaoqiang Guo, Kui Zhang, Yi Gao, Wei Dong |
| 2026 | Llm-Cache: an Efficient Context-Aware Semantic Caching Framework for Distributed Llm Inference Services. | Haoying Jin, Haoyang Feng |
| 2026 | Incentivizing and Orchestrating Cloud-Edge LLM Speculative Decoding via Auctions. | Mingtao Ji, Lei Jiao, Bin Tang, Zhihao Qu, Chen Chen, Baoliu Ye |
| 2026 | MEGATRACE: Troubleshooting Hang and Slowdown in Large-Scale LLM Training Clusters. | Fangzheng Jiao, Menghao Zhang, Bolin Chen, Jiaxun Huang, Yanmin Jia, Xiaohe Hu, Bohua Xu, Bowen Han, Chunming Hu |
| 2026 | Fleet-Level Optimization for Heterogeneous Device Provisioning in ML Model Deployments. | Harry H. Jiang, Carlee Joe-Wong |
| 2026 | A Replay-Attack Resistant and Lightweight Token Validation Framework With Hash Chain. | Gyeongheon Jeong, Jaeho Nam, Honggeun Park, Hyunsoo Kim, Jinhwan Jung, Jongsung Kim, Taekyoung Kwon |
| 2026 | Dual-Blade: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference. | Bodon Jeong, Hongsu Byun, Youngjae Kim, Weikuan Yu, Kyungkeun Lee, Jihoon Yang, Sungyong Park |
| 2026 | GV-DRM: Gradient-Variance Driven Dynamic Rank Migration for Efficient LoRA Fine-Tuning in Federated Split Learning. | Ali Irfan, Bong Jun Choi |
| 2026 | Resource Allocation for Surface Code Teleportation in Distillation-Based Quantum Networks. | Tianjie Hu, Jindi Wu, Qun Li |
| 2026 | MARL: A Multi-Agent Reinforcement Learning Framework for Buffer Management in Multi-Tenant Cloud Databases. | Xin Huang, Yu-Ang Zhang, Hongtao Wang, Peiquan Jin |
| 2026 | Aiming Low-Latency Atomicity for Cross-Shard Transactions in a Sharding Blockchain. | Huawei Huang, Jian Zheng, Qinde Chen, Yuting Yang |
| 2026 | Noise-Calibrated Lossy Compression for Privacy Leakage Reduction in Federated Learning. | Shan Huang, Zhijing Ye, Zhaorui Zhang, Sheng Di, Jiamin Wang, Wendy Hui Wang, Xiaodong Yu |
| 2026 | Panorama: LLM-Guided Heuristics for Digital Twin-Empowered Vehicular Edge Computing. | Ziyao Huang, Kui Wu, Weiwei Wu, Xiangtong Qi, Jianping Wang, Jen-Ming Wu |