Key papers

• Energy-Latency Attacks via Sponge Poisoning (2022)
  Antonio Emanuele Cin\`a et al.
  5.72
• LUMA: Benchmarking Segmentation via a Lightweight Universal Mask Adapter (2026)
  Tobias Christian Nauen et al.
  5.49
• BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal (2026)
  Prabod Rathnayaka et al.
  3.51
• When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning (2024)
  Advik Raj Basani et al.
  2.49
• Decoupled Attention Fusion: Accelerating RAG with Efficient KV Cache Reuse (2026)
  Xiabao Wu et al.
  2.00
• PRISM: Evaluating POSIX Storage Systems for AI Research Workflows (2026)
  Adithya Kumar et al.
  2.00
• TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters (2026)
  Zhiwen Mo et al.
  2.00
• FlashbackCL: Mitigating Temporal Forgetting in Federated Learning (2026)
  Mubarak A. Ojewale et al.
  1.94
• Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions (2026)
  Ali Mahdavi et al.
  1.89
• Energy-Aware Computing in the Year 2026 (2026)
  Roblex Nana Tchakoute and Claude Tadonki
  1.89
• A Methodology to Assess Power Modeling in Energy-Aware Federated Learning on Heterogeneous Mobile Devices (2026)
  Chaimae Jallouli et al.
  1.89
• Optimization Trade-offs in Asynchronous Federated Learning: A Stochastic Networks Approach (2026)
  Abdelkrim Alahyane (LAAS-SARA) et al.
  1.78
• Standardized Methods and Recommendations for Green Federated Learning (2026)
  Austin Tapp et al.
  1.72
• DIAL: Decentralized I/O AutoTuning via Learned Client-side Local Metrics for Parallel File System (2026)
  Md Hasanur Rashid et al.
  1.72
• Workload Schedulers -- Genesis, Algorithms and Differences (2025)
  Leszek Sliwko et al.
  1.56
• Survey of HPC in US Research Institutions (2025)
  Peng Shu et al.
  1.28
• ATM: Improving Model Merging by Alternating Tuning and Merging (2024)
  Luca Zhou et al.
  0.94
• Experimental Evaluation of Distributed k-Core Decomposition (2024)
  Bin Guo et al.
  0.67
• RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization (2021)
  An Zou et al.
  —
• Data intensive physics analysis in Azure cloud (2021)
  Igor Sfiligoi et al.
  —
• High-Performance Ptychographic Reconstruction with Federated Facilities (2021)
  Tekin Bicer et al.
  —
• An Efficient Approach to Move Elements in a Distributed Geo-Replicated Tree (2022)
  Parwat Singh Anjana et al.
  —
• Access Trends of In-network Cache for Scientific Data (2022)
  Ruize Han et al.
  —
• Bounding the Response Time of DAG Tasks Using Long Paths (2022)
  Qingqiang He et al.
  —
• AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources (2023)
  Anakha V Babu et al.
  —
• Application and Energy-Aware Data Aggregation using Vector Synchronization in Distributed Battery-less IoT Networks (2023)
  Chetna Singhal et al.
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• Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS (2023)
  Martin Grambow and Tobias Pfandzelter and David Bermbach
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• Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond (2024)
  Peng Zhang et al.
  —
• Efficiently Scheduling Parallel DAG Tasks on Identical Multiprocessors (2024)
  Shardul Lendve (1 and 3) et al.
  —
• A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training (2024)
  Mingjing Li et al.
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