cs.DC

Papers

• MinT: Managed Infrastructure for Training and Serving Millions of LLMs (2026)
  Mind Lab et al.
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• Version Control of Speaker Recognition Systems (2024)
  Quan Wang et al.
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• Survey of Machine Learning Accelerators (2021)
  Albert Reuther et al.
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• Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework (2021)
  Dhruv Guliani et al.
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• Federated Self-Training for Semi-Supervised Audio Recognition (2022)
  Vasileios Tsouvalas et al.
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• Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference (2022)
  Gianna Paulin et al.
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• FedNST: Federated Noisy Student Training for Automatic Speech Recognition (2022)
  Haaris Mehmood et al.
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• Decoupled Federated Learning for ASR with Non-IID Data (2022)
  Han Zhu et al.
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• FedAudio: A Federated Learning Benchmark for Audio Tasks (2023)
  Tuo Zhang et al.
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• Federated Learning for Inference at Anytime and Anywhere (2022)
  Zicheng Liu et al.
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• SoundSieve: Seconds-Long Audio Event Recognition on Intermittently-Powered Systems (2023)
  Mahathir Monjur et al.
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• Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices (2023)
  Zitha Sasindran et al.
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• Large-Scale Automatic Audiobook Creation (2023)
  Brendan Walsh et al.
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• Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR (2023)
  Sheikh Shams Azam et al.
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• On the Communication Complexity of Decentralized Stochastic Bilevel Optimization (2026)
  Yihan Zhang et al.
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• Consensus-based Distributed Quantum Kernel Learning for Speech Recognition (2024)
  Kuan-Cheng Chen et al.
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• Producer vs. Rapper: Who Dominates the Hip Hop Sound? A Case Study (2025)
  Tim Ziemer and Nikita Kudakov and Christoph Reuter
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• Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures (2026)
  Ashab Uddin et al.
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• Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs (2025)
  Le Zhang et al.
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• Harmonia: Enhancing Data Placement and Migration in Hybrid Storage Systems via Multi-Agent Reinforcement Learning (2026)
  Rakesh Nadig et al.
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• Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission (2026)
  Seungeun Oh et al.
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• FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models (2026)
  Hariharan Ramesh et al.
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• FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification (2025)
  Jun Bai et al.
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• Edge-Based Speech Transcription and Synthesis for Kinyarwanda and Swahili Languages (2025)
  Pacome Simon Mbonimpa et al.
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• LongCat-Flash-Omni Technical Report (2025)
  Meituan LongCat Team et al.
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• DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures (2026)
  Peiming Yang et al.
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• Morphling: Fast, Fused, and Flexible GNN Training at Scale (2026)
  Anubhab et al.
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• Ariel-ML: Computing Parallelization with Embedded Rust for Neural Networks on Heterogeneous Multi-core Microcontrollers (2026)
  Zhaolan Huang et al.
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• Snowveil: A Framework for Decentralised Preference Discovery (2026)
  Grammateia Kotsialou
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• ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling (2026)
  Yuchen Yang et al.
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• Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic (2026)
  Shuo Liu et al.
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• VoxServe: Streaming-Centric Serving System for Speech Language Models (2026)
  Keisuke Kamahori et al.
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• MedBeads: An Agent-Native, Immutable Data Substrate for Trustworthy Medical AI (2026)
  Takahito Nakajima
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• ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning (2026)
  Jingwei Song et al.
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• Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation (2026)
  Hyunji Jung et al.
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• Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems (2026)
  Samaresh Kumar Singh et al.
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• Evaluating Kubernetes Performance for GenAI Inference: From Automatic Speech Recognition to LLM Summarization (2026)
  Sai Sindhur Malleni et al.
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• NEST: Network- and Memory-Aware Device Placement For Distributed Deep Learning (2026)
  Irene Wang et al.
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• Rewriting TTS Inference Economics: Lightning V2 on Tenstorrent Achieves 4x Lower Cost Than NVIDIA L40S (2026)
  Ranjith M. S. et al.
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• SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding (2026)
  Talor Abramovich et al.
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• From Detection to Recovery: Operational Analysis on LLM Pre-training with 504 GPUs (2026)
  Daemyung Kang et al.
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• An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum (2026)
  Suvi De Silva et al.
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• ReCoVer: Resilient LLM Pre-Training System via Fault-Tolerant Collective and Versatile Workload (2026)
  Ziyue Liu et al.
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• S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination (2026)
  Sajjad Khan
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• An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence (2026)
  Yichen Liu et al.
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• KPI2KVI: A Multi Agent Workflow for Calculating Key Value Indicators from Service Descriptions (2026)
  Masoud Shokrnezhad et al.
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• ObjectCache: Layerwise Object-Storage Retrieval for KV Cache Reuse (2026)
  Yu Zhu et al.
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• Orbax: Distributed Checkpointing with JAX (2026)
  Colin Gaffney et al.
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• Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems (2026)
  Shubham Agarwal et al.
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• Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems (2026)
  Aasish Kumar Sharma et al.
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