Cover Image

MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Sijia, Kwon, Young D., Lee, Lik-Hang, Hui, Pan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
by: Zhong, Zhengyi, et al.
Published: (2025)

LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices
by: Dong, Cynthia, et al.
Published: (2025)

Set-based Meta-Interpolation for Few-Task Meta-Learning
by: Lee, Seanie, et al.
Published: (2022)

Any-Way Meta Learning
by: Lee, Junhoo, et al.
Published: (2024)

Tractable Uncertainty-Aware Meta-Learning
by: Park, Young-Jin, et al.
Published: (2022)

MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
by: Trirat, Patara, et al.
Published: (2025)

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
by: Yao, Dezhong, et al.
Published: (2025)

Meta-cognitive Multi-scale Hierarchical Reasoning for Motor Imagery Decoding
by: Kim, Si-Hyun, et al.
Published: (2025)

SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
by: Ma, Jian, et al.
Published: (2025)

Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
by: Qin, Ruiyang, et al.
Published: (2024)

Meta-World+: An Improved, Standardized, RL Benchmark
by: McLean, Reginald, et al.
Published: (2025)

Meta-Learning Reinforcement Learning for Crypto-Return Prediction
by: Wang, Junqiao, et al.
Published: (2025)

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning
by: Awasthi, Ankita, et al.
Published: (2026)

Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
by: Klironomos, Antonis, et al.
Published: (2026)

Meta-Ensemble Learning with Diverse Data Splits for Improved Respiratory Sound Classification
by: Kim, June-Woo, et al.
Published: (2026)

Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
by: Fan, Jiangdong, et al.
Published: (2024)

Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
by: Ahmed, Mohamed Aboelenien, et al.
Published: (2025)

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent
by: Hoppmann, Björn, et al.
Published: (2026)

Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
by: Cho, Seongwoong, et al.
Published: (2024)

MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation
by: Wang, Xiaohan, et al.
Published: (2024)

AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
by: Lee, Dongsu, et al.
Published: (2024)

MLDGG: Meta-Learning for Domain Generalization on Graphs
by: Tian, Qin, et al.
Published: (2024)

BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
by: Ko, Jihoon, et al.
Published: (2022)

MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs
by: Chen, Jiawen, et al.
Published: (2025)

Meta-Cognitive Reinforcement Learning with Self-Doubt and Recovery
by: Zhang, Zhipeng, et al.
Published: (2026)

Meta Hierarchical Reinforcement Learning for Scalable Resource Management in O-RAN
by: Lotfi, Fatemeh, et al.
Published: (2025)

An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
by: Yun, Taeyoung, et al.
Published: (2024)

Meta-Learning Objectives for Preference Optimization
by: Alfano, Carlo, et al.
Published: (2024)

Meta-Learning Adaptive Loss Functions
by: Raymond, Christian, et al.
Published: (2023)

MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
by: Ma, Hui, et al.
Published: (2025)

Understanding Prompt Tuning and In-Context Learning via Meta-Learning
by: Genewein, Tim, et al.
Published: (2025)

Robust Federated Learning on Edge Devices with Domain Heterogeneity
by: Le, Huy Q., et al.
Published: (2025)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy
by: Wang, Lu, et al.
Published: (2024)

Memory Allocation in Resource-Constrained Reinforcement Learning
by: Tamborski, Massimiliano, et al.
Published: (2025)

Continual Learning as Computationally Constrained Reinforcement Learning
by: Kumar, Saurabh, et al.
Published: (2023)

Task-Distributionally Robust Data-Free Meta-Learning
by: Hu, Zixuan, et al.
Published: (2023)

FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models
by: Qin, Ruiyang, et al.
Published: (2024)

TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning
by: Li, Mengyang
Published: (2025)

On Accelerating Edge AI: Optimizing Resource-Constrained Environments
by: Sander, Jacob, et al.
Published: (2025)

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2025)