On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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9 results for “resource-aware”

Multi-Armed Bandits with Censored Consumption of Resourcescs.LG

A new algorithm for resource-aware multi-armed bandits minimizes regret.

problem Optimizing resource usage in a multi-armed bandit problem with censored observations.

method UCB-inspired online learning algorithm with theoretical regret analysis.

result The proposed algorithm outperforms standard multi-armed bandit algorithms in simulations.

multi-armed bandits resource allocation censored observations online learning regret minimization

2020-11-02abs ↗pdf ↗

ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Designstat.ML

ARCO-BO optimizes multi-agent design under heterogeneity, improving efficiency and performance.

problem Heterogeneous multi-agent optimization challenges in resource use and information sharing.

method ARCO-BO integrates a consensus mechanism, budget-aware sampling, and partial input sharing for heterogeneous design spaces.

result ARCO-BO outperforms independent and collaborative BO methods in complex multi-agent settings.

Bayesian Optimization Multi-Agent Systems Resource Coordination Heterogeneity Asynchronous Sampling

2025-10-18abs ↗pdf ↗

Resource Aware Multifidelity Active Learning for Efficient Optimizationcs.LG

RAAL optimizes black box function optimization with multifidelity models.

problem Time-consuming and unfeasible black box optimization.

method Resource Aware Multifidelity Active Learning (RAAL) for efficient optimization.

result RAAL optimizes black box function optimization with multifidelity models.

Bayesian Optimization Multifidelity Active Learning Black Box Functions Resource Management

2020-07-09abs ↗pdf ↗

MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensingcs.LG

MDLdroid improves mobile deep learning for personal sensing with faster training.

problem Continuous local changes and resource constraints in personal mobile sensing affect global model performance.

method ChainSGD-reduce approach to reduce overhead and balance resources.

result 2x to 3.5x faster training on off-the-shelf mobile devices compared to single-device training.

mobile deep learning personal sensing Federated Learning resource-aware ChainSGD-reduce

2020-02-07abs ↗pdf ↗

Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraintscs.LG

Optimizes query routing to LLMs under cost and resource constraints.

problem Non-uniform or adversarial batching in per-query routing methods leads to cost inefficiency.

method Batch-level, resource-aware routing framework that jointly optimizes model assignment for each batch.

result Robust routing framework improves accuracy by 1-14% over non-robust methods.

query routing large language models cost constraints resource management batch-level optimization

2026-03-25abs ↗pdf ↗

Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic Planningcs.LG

CoTj improves diffusion model quality and stability via graph planning.

problem Rigidity in diffusion models due to high-dimensional state space.

method Chain-of-Trajectories (CoTj) framework using Diffusion DNA for graph planning.

result CoTj discovers context-aware trajectories improving output quality and stability.

diffusion models graph planning trajectory optimization resource allocation

2026-03-16abs ↗pdf ↗

Expected Free Energy-based Planning as Variational Inferencestat.ML

Unified framework for planning under uncertainty using variational inference.

problem Planning under uncertainty with separate objectives for exploration and exploitation.

method Variational inference on a generative model augmented with priors.

result EFE-based planning emerges as variational inference, enabling scalable, resource-aware policies.

active inference variational inference free energy principle planning under uncertainty epistemic drives

2025-04-21abs ↗pdf ↗

Resource-aware Elastic Swap Random Forest for Evolving Data Streamscs.LG

Continual learning based on data stream mining deals with ubiquitous sources of Big Data arriving at high-velocity and in real-time. Adaptive Random Forest ({\em ARF}) is a popular ensemble method used for continual learning due to its simplicity in combining adaptive leveraging bagging with fast random Hoeffding trees…

2019-05-14abs ↗pdf ↗

TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGAcs.LG

TinyCNN accelerates CNN models on embedded FPGA with 15x speedup.

problem Limited memory on embedded FPGAs restricts CNN performance.

method Software and hardware design tool for FPGA resource-aware CNN accelerator.

result 3% accuracy loss with 15.75x speedup on image classification.

CNN accelerator FPGA Embedded systems Image classification Fixed-point arithmetic

2019-11-15abs ↗pdf ↗