Irfan Ullah, Young-Koo Lee: MQ-GNN: A Multi-Queue Pipelined Architecture for Scalable and Efficient GNN Training https://arxiv.org/abs/2601.04707 https://arxiv.org/pdf/2601.04707 https://arxiv.org/html/2601.04707

Xiang Li, Bing Luo, Jianwei Huang, Yuan Luo: Mechanism Design for Federated Learning with Non-Monotonic Network Effects https://arxiv.org/abs/2601.04648 https://arxiv.org/pdf/2601.04648 https://arxiv.org/html/2601.04648

Mengmeng Zhu, Yuxuan Sun, Yukuan Jia, Wei Chen, Bo Ai, Sheng Zhou: Timeliness-Oriented Scheduling and Resource Allocation in Multi-Region Collaborative Perception https://arxiv.org/abs/2601.04542 https://arxiv.org/pdf/2601.04542 https://arxiv.org/html/2601.04542

Marco Laju, Donghyun Son, Saurabh Agarwal, Nitin Kedia, Myungjin Lee, Jayanth Srinivasa, Aditya Akella: Nalar: An agent serving framework https://arxiv.org/abs/2601.05109 https://arxiv.org/pdf/2601.05109 https://arxiv.org/html/2601.05109

Antonella Del Pozzo, Achille Desreumaux, Mathieu Gestin, Alexandre Rapetti, Sara Tucci-Piergiovanni: Asynchronous Secure Federated Learning with Byzantine aggregators https://arxiv.org/abs/2601.04930 https://arxiv.org/pdf/2601.04930 https://arxiv.org/html/2601.04930

Vincent Maillou, Matthias Bollhofer, Olaf Schenk, Alexandros Nikolaos Ziogas, Mathieu Luisier: Parallel Quadratic Selected Inversion in Quantum Transport Simulation https://arxiv.org/abs/2601.04904 https://arxiv.org/pdf/2601.04904 https://arxiv.org/html/2601.04904

Homayoun Maleki, Nekane Sainz, Jon Legarda: Proof of Commitment: A Human-Centric Resource for Permissionless Consensus https://arxiv.org/abs/2601.04813 https://arxiv.org/pdf/2601.04813 https://arxiv.org/html/2601.04813

Krishna Chaitanya Sunkara: Cognitive Infrastructure: A Unified DCIM Framework for AI Data Centers https://arxiv.org/abs/2601.04750 https://arxiv.org/pdf/2601.04750 https://arxiv.org/html/2601.04750

Gijun Park: Quantifying Autoscaler Vulnerabilities: An Empirical Study of Resource Misallocation Induced by Cloud Infrastructure Faults https://arxiv.org/abs/2601.04659 https://arxiv.org/pdf/2601.04659 https://arxiv.org/html/2601.04659

Ajay Singh, Nikos Metaxakis, Panagiota Fatourou: Sharded Elimination and Combining for Highly-Efficient Concurrent Stacks https://arxiv.org/abs/2601.04523 https://arxiv.org/pdf/2601.04523 https://arxiv.org/html/2601.04523

Xaver Stiensmeier, et al.: Hybrid Cloud Architectures for Research Computing: Applications and Use Cases https://arxiv.org/abs/2601.04349 https://arxiv.org/pdf/2601.04349 https://arxiv.org/html/2601.04349

Kaplan, Bitan, Ghrayeb, Chen, Yotam, Hasabnis, Oren: ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation https://arxiv.org/abs/2601.04327 https://arxiv.org/pdf/2601.04327 https://arxiv.org/html/2601.04327

[2026-01-09 Fri (UTC), 9 new articles found for csDC Distributed, Parallel, and Cluster Computing]

Ping Luo, Jiahuan Wang, Ziqing Wen, Tao Sun, Dongsheng Li: Local Gradient Regulation Stabilizes Federated Learning under Client Heterogeneity https://arxiv.org/abs/2601.03584 https://arxiv.org/pdf/2601.03584 https://arxiv.org/html/2601.03584

Francisco Ponce, et al.: Failure-Resilient and Carbon-Efficient Deployment of Microservices over the Cloud-Edge Continuum https://arxiv.org/abs/2601.04123 https://arxiv.org/pdf/2601.04123 https://arxiv.org/html/2601.04123

Hu, Wang, Cao, Qin, Chen, Xiao, Hu, Tian, Yan, Cui, Chen, Xie: Hummingbird: SLO-Oriented GPU Preemption at Microsecond-scale https://arxiv.org/abs/2601.04071 https://arxiv.org/pdf/2601.04071 https://arxiv.org/html/2601.04071

Qi Wu, Chao Fang, Jiayuan Chen, Ye Lin, Yueqi Zhang, Yichuan Bai, Yuan Du, Li Du: A Scheduling Framework for Efficient MoE Inference on Edge GPU-NDP Systems https://arxiv.org/abs/2601.03992 https://arxiv.org/pdf/2601.03992 https://arxiv.org/html/2601.03992

Francesco D'Amato, Roberto Saltini, Thanh-Hai Tran, Yann Vonlanthen, Luca Zanolini: Majorum: Ebb-and-Flow Consensus with Dynamic Quorums https://arxiv.org/abs/2601.03862 https://arxiv.org/pdf/2601.03862 https://arxiv.org/html/2601.03862

Daniel Qian, Xiyu Hao, Jinkun Geng, Yuncheng Yao, Aurojit Panda, Jinyang Li, Anirudh Sivaraman: Revisiting Speculative Leaderless Protocols for Low-Latency BFT Replication https://arxiv.org/abs/2601.03390 https://arxiv.org/pdf/2601.03390 https://arxiv.org/html/2601.03390

[2026-01-08 Thu (UTC), 5 new articles found for csDC Distributed, Parallel, and Cluster Computing]

Stanly Wilson, Kwabena Adu-Duodu, Yinhao Li, Ellis Solaiman, Omer Rana, Rajiv Ranjan: Exploring Blockchain Interoperability: Frameworks, Use Cases, and Future Challenges https://arxiv.org/abs/2601.02949 https://arxiv.org/pdf/2601.02949 https://arxiv.org/html/2601.02949

Arjun S. Nair: Chronicals: A High-Performance Framework for LLM Fine-Tuning with 3.51x Speedup over Unsloth https://arxiv.org/abs/2601.02609 https://arxiv.org/pdf/2601.02609 https://arxiv.org/html/2601.02609

Artavazd Maranjyan: First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data https://arxiv.org/abs/2601.02523 https://arxiv.org/pdf/2601.02523 https://arxiv.org/html/2601.02523

Sergio Demian Lerner: APoW: Auditable Proof-of-Work Against Block Withholding Attacks https://arxiv.org/abs/2601.02496 https://arxiv.org/pdf/2601.02496 https://arxiv.org/html/2601.02496

Saurabh Agarwal, Marco Laju, Jayanth Srinivasa, Myungjin Lee, Aditya Akella: Software-Defined Agentic Serving https://arxiv.org/abs/2601.03197 https://arxiv.org/pdf/2601.03197 https://arxiv.org/html/2601.03197

Wim Vanderbauwhede, Lauritz Thamsen, Jos\'e Cano: Proceedings of the 1st International Workshop on Low Carbon Computing (LOCO 2024) https://arxiv.org/abs/2601.02898 https://arxiv.org/pdf/2601.02898 https://arxiv.org/html/2601.02898

[2026-01-07 Wed (UTC), 2 new articles found for csDC Distributed, Parallel, and Cluster Computing]

Jay Kuri: Vouchsafe: A Zero-Infrastructure Capability Graph Model for Offline Identity and Trust https://arxiv.org/abs/2601.02254 https://arxiv.org/pdf/2601.02254 https://arxiv.org/html/2601.02254

Guy Amir, Mark Barbone, Nicolas Amat, Jules Jacobs: Deciding Serializability in Network Systems https://arxiv.org/abs/2601.02251 https://arxiv.org/pdf/2601.02251 https://arxiv.org/html/2601.02251

Manav Seksaria, Anil Prabhakar: Cutting Quantum Circuits Beyond Qubits https://arxiv.org/abs/2601.02064 https://arxiv.org/pdf/2601.02064 https://arxiv.org/html/2601.02064

Qiantao Yang, Liquan Chen, Mingfu Xue, Songze Li: Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack https://arxiv.org/abs/2601.01840 https://arxiv.org/pdf/2601.01840 https://arxiv.org/html/2601.01840

Umesh Vangapally, Wenhan Wu, Chen Chen, Zhishuai Guo: Communication-Efficient Federated AUC Maximization with Cyclic Client Participation https://arxiv.org/abs/2601.01649 https://arxiv.org/pdf/2601.01649 https://arxiv.org/html/2601.01649

Shahrooz Pouryousef, Eneet Kaur, Hassan Shapourian, Don Towsley, Ramana Kompella, Reza Nejabati: Benchmarking Quantum Data Center Architectures: A Performance and Scalability Perspective https://arxiv.org/abs/2601.01353 https://arxiv.org/pdf/2601.01353 https://arxiv.org/html/2601.01353

Jorge L. Ruiz Williams: Warp-Cortex: An Asynchronous, Memory-Efficient Architecture for Million-Agent Cognitive Scaling on Consumer Hardware https://arxiv.org/abs/2601.01298 https://arxiv.org/pdf/2601.01298 https://arxiv.org/html/2601.01298

Deep Pankajbhai Mehta: Placement Semantics for Distributed Deep Learning: A Systematic Framework for Analyzing Parallelism Strategies https://arxiv.org/abs/2601.02311 https://arxiv.org/pdf/2601.02311 https://arxiv.org/html/2601.02311

Sengupta, Yousefzadeh, Sanghvi, Ranjan, Rangarajan, Ranka, Karnati, Dilmore, Patel, Casburn: BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation https://arxiv.org/abs/2601.02286 https://arxiv.org/pdf/2601.02286 https://arxiv.org/html/2601.02286

Abdullah Al Asif, Sixing Yu, Juan Pablo Munoz, Arya Mazaheri, Ali Jannesari: SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks https://arxiv.org/abs/2601.02092 https://arxiv.org/pdf/2601.02092 https://arxiv.org/html/2601.02092

on, et al.: Bringing computation to the data: A MOEA-driven approach for optimising data processing in the context of the SKA and SRCNet https://arxiv.org/abs/2601.01980 https://arxiv.org/pdf/2601.01980 https://arxiv.org/html/2601.01980

Li, Xia, Liang, Wang, Underwood, Di, Sharma, Beniwal, Cappello, Guo: pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression https://arxiv.org/abs/2601.01787 https://arxiv.org/pdf/2601.01787 https://arxiv.org/html/2601.01787

Jiarui Wang, et al.: RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference https://arxiv.org/abs/2601.01712 https://arxiv.org/pdf/2601.01712 https://arxiv.org/html/2601.01712

Ren, Underwood, Di, Kutay, Lukic, Yener, Cappello, Guo: FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data https://arxiv.org/abs/2601.01596 https://arxiv.org/pdf/2601.01596 https://arxiv.org/html/2601.01596

Zhang, Xu, Wu, Dong, Cheng, Zhao, Chen, Zheng, Liu, Fu: DiT-HC: Enabling Efficient Training of Visual Generation Model DiT on HPC-oriented CPU Cluster https://arxiv.org/abs/2601.01500 https://arxiv.org/pdf/2601.01500 https://arxiv.org/html/2601.01500

Songyu Zhang, Aaron Tam, Myungjin Lee, Shixiong Qi, K. K. Ramakrishnan: Making MoE based LLM inference resilient with Tarragon https://arxiv.org/abs/2601.01310 https://arxiv.org/pdf/2601.01310 https://arxiv.org/html/2601.01310

Xin Tan, Yicheng Feng, Yu Zhou, Yimin Jiang, Yibo Zhu, Hong Xu: OrchestrRL: Dynamic Compute and Network Orchestration for Disaggregated RL https://arxiv.org/abs/2601.01209 https://arxiv.org/pdf/2601.01209 https://arxiv.org/html/2601.01209

Mohammad Goudarzi, Arash Shaghaghi, Zhiyu Wang, Rajkumar Buyya: Performance and Security Aware Distributed Service Placement in Fog Computing https://arxiv.org/abs/2601.01125 https://arxiv.org/pdf/2601.01125 https://arxiv.org/html/2601.01125

Bharadwaj Veeravalli: A Multi-Port Concurrent Communication Model for handling Compute Intensive Tasks on Distributed Satellite System Constellations https://arxiv.org/abs/2601.01031 https://arxiv.org/pdf/2601.01031 https://arxiv.org/html/2601.01031

[2026-01-06 Tue (UTC), 12 new articles found for csDC Distributed, Parallel, and Cluster Computing]

Yuchuan Ye, Ming Ding, Youjia Chen, Peng Cheng, Dusit Niyato: Federated Customization of Large Models: Approaches, Experiments, and Insights https://arxiv.org/abs/2601.00526 https://arxiv.org/pdf/2601.00526 https://arxiv.org/html/2601.00526

Prajwal Panth, Sahaj Raj Malla: Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution https://arxiv.org/abs/2601.00418 https://arxiv.org/pdf/2601.00418 https://arxiv.org/html/2601.00418

Saleh, Donta, Morabito, Tarkoma, Lindgren, Zhang, Pirttikangas, Lov\'en: Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems https://arxiv.org/abs/2601.00339 https://arxiv.org/pdf/2601.00339 https://arxiv.org/html/2601.00339