arXiv cs.DC Distributed, Parallel, and Cluster Computing

Fabien Dufoulon, Fr\'ed\'eric Magniez, Gopal Pandurangan: Tight Communication Bounds for Distributed Algorithms in the Quantum Routing Model https://arxiv.org/abs/2602.15529 https://arxiv.org/pdf/2602.15529 https://arxiv.org/html/2602.15529

Chethana Prasad Kabgere, Shylaja SS: On the Geometric Coherence of Global Aggregation in Federated GNN https://arxiv.org/abs/2602.15510 https://arxiv.org/pdf/2602.15510 https://arxiv.org/html/2602.15510

Hao Chen, Zavareh Bozorgasl: SCENE OTA-FD: Self-Centering Noncoherent Estimator for Over-the-Air Federated Distillation https://arxiv.org/abs/2602.15326 https://arxiv.org/pdf/2602.15326 https://arxiv.org/html/2602.15326

Sedlak, Pujol, de Abril, Donta, Toosi, Dustdar: Service Orchestration in the Computing Continuum: Structural Challenges and Vision https://arxiv.org/abs/2602.15794 https://arxiv.org/pdf/2602.15794 https://arxiv.org/html/2602.15794

Zhihao Shu, Md Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu: FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations https://arxiv.org/abs/2602.15379 https://arxiv.org/pdf/2602.15379 https://arxiv.org/html/2602.15379

Bridges, Schafer, Lange, White, Skjellum, Suggs, Hines, Bangalore, Dosanjh, Schonbein: Co-Design and Evaluation of a CPU-Free MPI GPU Communication Abstraction and Implementation https://arxiv.org/abs/2602.15356 https://arxiv.org/pdf/2602.15356 https://arxiv.org/html/2602.15356

Kevin Garner, Polykarpos Thomadakis, Nikos Chrisochoides: Distributed Semi-Speculative Parallel Anisotropic Mesh Adaptation https://arxiv.org/abs/2602.15204 https://arxiv.org/pdf/2602.15204 https://arxiv.org/html/2602.15204

[2026-02-18 Wed (UTC), 4 new articles found for csDC Distributed, Parallel, and Cluster Computing]

Bardia Mohammadi, Nearchos Potamitis, Lars Klein, Akhil Arora, Laurent Bindschaedler: Atomix: Timely, Transactional Tool Use for Reliable Agentic Workflows https://arxiv.org/abs/2602.14849 https://arxiv.org/pdf/2602.14849 https://arxiv.org/html/2602.14849

Xiaoye Sherry Li, Yang Liu: Parallel Sparse and Data-Sparse Factorization-based Linear Solvers https://arxiv.org/abs/2602.14289 https://arxiv.org/pdf/2602.14289 https://arxiv.org/html/2602.14289

Fei Wu, Jia Hu, Geyong Min, Shiqiang Wang: Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity https://arxiv.org/abs/2602.13486 https://arxiv.org/pdf/2602.13486 https://arxiv.org/html/2602.13486

Hao Liu, Suhaib A. Fahmy: Ask the Expert: Collaborative Inference for Vision Transformers with Near-Edge Accelerators https://arxiv.org/abs/2602.13334 https://arxiv.org/pdf/2602.13334 https://arxiv.org/html/2602.13334

Yuanyi Wang, Yanggan Gu, Zihao Wang, Kunxi Li, Yifan Yang, Zhaoyi Yan, Congkai Xie, Jianmin Wu, Hongxia Yang: MergePipe: A Budget-Aware Parameter Management System for Scalable LLM Merging https://arxiv.org/abs/2602.13273 https://arxiv.org/pdf/2602.13273 https://arxiv.org/html/2602.13273

Taeyoon Kim, Woohyeok Park, Hoyeong Yun, Kyungyong Lee: Why Do AI Agents Systematically Fail at Cloud Root Cause Analysis? https://arxiv.org/abs/2602.09937 https://arxiv.org/pdf/2602.09937 https://arxiv.org/html/2602.09937

Zong Yu Lee, Xueyan Tang: Evaluation of Dynamic Vector Bin Packing for Virtual Machine Placement https://arxiv.org/abs/2602.14704 https://arxiv.org/pdf/2602.14704 https://arxiv.org/html/2602.14704

Wenhao He, Youhe Jiang, Penghao Zhao, Quanqing Xu, Eiko Yoneki, Bin Cui, Fangcheng Fu: Efficient Multi-round LLM Inference over Disaggregated Serving https://arxiv.org/abs/2602.14516 https://arxiv.org/pdf/2602.14516 https://arxiv.org/html/2602.14516

Chunlin Tian, Kahou Tam, Yebo Wu, Shuaihang Zhong, Li Li, Nicholas D. Lane, Chengzhong Xu: Floe: Federated Specialization for Real-Time LLM-SLM Inference https://arxiv.org/abs/2602.14302 https://arxiv.org/pdf/2602.14302 https://arxiv.org/html/2602.14302

Yuze Liu, Shibo Chu, Tiehua Zhang, Hao Zhou, Zhishu Shen, Jinze Wang, Jianzhong Qi, Feng Xia: ML-ECS: A Collaborative Multimodal Learning Framework for Edge-Cloud Synergies https://arxiv.org/abs/2602.14107 https://arxiv.org/pdf/2602.14107 https://arxiv.org/html/2602.14107

Zhengyan Chu: TEG: Exascale Cluster Governance via Non-Equilibrium Thermodynamics and Langevin Dynamics https://arxiv.org/abs/2602.13789 https://arxiv.org/pdf/2602.13789 https://arxiv.org/html/2602.13789

[2026-02-17 Tue (UTC), 5 new articles found for csDC Distributed, Parallel, and Cluster Computing]

Niklas Klinger, Jonas Sander, Peterson Yuhala, Pascal Felber, Thomas Eisenbarth: DRAMatic Speedup: Accelerating HE Operations on a Processing-in-Memory System https://arxiv.org/abs/2602.12433 https://arxiv.org/pdf/2602.12433 https://arxiv.org/html/2602.12433

Arijit Bhattacharjee, Heng Ping, Son Vu Le, Paul Bogdan, Nesreen K. Ahmed, Ali Jannesari: OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization https://arxiv.org/abs/2602.12305 https://arxiv.org/pdf/2602.12305 https://arxiv.org/html/2602.12305

Shlomi Dolev, Ehud Gudes, Daniel Shlomo: Bloom Filter Look-Up Tables for Private and Secure Distributed Databases in Web3 (Revised Version) https://arxiv.org/abs/2602.13167 https://arxiv.org/pdf/2602.13167 https://arxiv.org/html/2602.13167

Thomas Boudier, Fabian Kuhn, Augusto Modanese, Ronja Stimpert, Jukka Suomela: Classification of Local Optimization Problems in Directed Cycles https://arxiv.org/abs/2602.13046 https://arxiv.org/pdf/2602.13046 https://arxiv.org/html/2602.13046

J\'er\'emie Chalopin, Victor Chepoi, Maria Kokkou: Distance-based certification for leader election in meshed graphs and local recognition of their subclasses https://arxiv.org/abs/2602.12894 https://arxiv.org/pdf/2602.12894 https://arxiv.org/html/2602.12894

[2026-02-16 Mon (UTC), 3 new articles found for csDC Distributed, Parallel, and Cluster Computing]

Oghenekaro Elem, Nimrod Talmon: Legitimate Overrides in Decentralized Protocols https://arxiv.org/abs/2602.12260 https://arxiv.org/pdf/2602.12260 https://arxiv.org/html/2602.12260

Woo, Kim, Shim, Jo, Jeong, Lee, Kim, Lee, Park, Kwon, Lee: PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated Serving https://arxiv.org/abs/2602.12029 https://arxiv.org/pdf/2602.12029 https://arxiv.org/html/2602.12029

Correia, Ferreira, Martins, Bento, Guerreiro, Pereira, Gomes, Bono, Ferreira, Bizarro: MUSE: Multi-Tenant Model Serving With Seamless Model Updates https://arxiv.org/abs/2602.11776 https://arxiv.org/pdf/2602.11776 https://arxiv.org/html/2602.11776

Christian Rondanini, Barbara Carminati, Elena Ferrari, Niccol\`o Lardo, Ashish Kundu: LoRA-based Parameter-Efficient LLMs for Continuous Learning in Edge-based Malware Detection https://arxiv.org/abs/2602.11655 https://arxiv.org/pdf/2602.11655 https://arxiv.org/html/2602.11655