:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Evan, Fang, Wenzhi, Wang, Shiqiang, Brinton, Christopher
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2602.00166
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
par: Piaseczny, Adam, et autres
Publié: (2025)

TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
par: Lee, Seohyun, et autres
Publié: (2025)

Gradient Correction in Federated Learning with Adaptive Optimization
par: Chen, Evan, et autres
Publié: (2025)

Hierarchical Federated Learning with Multi-Timescale Gradient Correction
par: Fang, Wenzhi, et autres
Publié: (2024)

PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
par: Yuan, Liangqi, et autres
Publié: (2026)

Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
par: Yuan, Liangqi, et autres
Publié: (2026)

Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training
par: Fang, Wenzhi, et autres
Publié: (2025)

Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings
par: Yuan, Liangqi, et autres
Publié: (2025)

Safe Offline Reinforcement Learning with Real-Time Budget Constraints
par: Lin, Qian, et autres
Publié: (2023)

Communication-Efficient and Differentially Private Vertical Federated Learning with Zeroth-Order Optimization
par: Zhang, Jianing, et autres
Publié: (2025)

Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
par: Liang, Jingcong, et autres
Publié: (2025)

Digital Over-the-Air Federated Learning in Multi-Antenna Systems
par: Wang, Sihua, et autres
Publié: (2023)

Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis
par: Zehtabi, Shahryar, et autres
Publié: (2025)

Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
par: Han, Xinchen, et autres
Publié: (2026)

Learning Safety Constraints for Large Language Models
par: Chen, Xin, et autres
Publié: (2025)

Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents
par: Tec, Mauricio, et autres
Publié: (2025)

Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
par: Zhang, Xiao, et autres
Publié: (2025)

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
par: Brahmanage, Janaka Chathuranga, et autres
Publié: (2026)

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
par: Sow, Daouda, et autres
Publié: (2025)

Safe Online Bid Optimization with Return on Investment and Budget Constraints
par: Castiglioni, Matteo, et autres
Publié: (2022)

Solving Continual Offline Reinforcement Learning with Decision Transformer
par: Huang, Kaixin, et autres
Publié: (2024)

Joint Task Offloading, Inference Optimization and UAV Trajectory Planning for Generative AI Empowered Intelligent Transportation Digital Twin
par: Li, Xiaohuan, et autres
Publié: (2026)

Adaptive Budget Allocation for Orthogonal-Subspace Adapter Tuning in LLMs Continual Learning
par: Wan, Zhiyi, et autres
Publié: (2025)

Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
par: Mandi, Jayanta, et autres
Publié: (2025)

Learning Local Constraints for Reinforcement-Learned Content Generators
par: Bhaumik, Debosmita, et autres
Publié: (2026)

Token-Budget-Aware LLM Reasoning
par: Han, Tingxu, et autres
Publié: (2024)

Multimodal Survival Analysis with Locally Deployable Large Language Models
par: Gögl, Moritz, et autres
Publié: (2026)

Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning
par: Fang, Wenzhi, et autres
Publié: (2023)

Liquid Reasoning Transformers: A Sudoku-Based Prototype for Chess-Scale Algorithmic Tasks
par: Sahni, Shivansh, et autres
Publié: (2025)

Communication-Efficient Split Learning via Adaptive Feature-Wise Compression
par: Oh, Yongjeong, et autres
Publié: (2023)

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens
par: Wen, Hao, et autres
Publié: (2025)

UniRL-Zero: Reinforcement Learning on Unified Models with Joint Language Model and Diffusion Model Experts
par: Wang, Fu-Yun, et autres
Publié: (2025)

Selecting Decision-Relevant Concepts in Reinforcement Learning
par: Raman, Naveen, et autres
Publié: (2026)

Anytime Optimal Decision Tree Learning with Continuous Features
par: Kiossou, Harold, et autres
Publié: (2026)

Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
par: Liu, Hanbing, et autres
Publié: (2026)

LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
par: Yuan, Liangqi, et autres
Publié: (2025)

Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
par: Li, Yujie, et autres
Publié: (2025)

In-depth Analysis on Caching and Pre-fetching in Mixture of Experts Offloading
par: Lin, Shuning, et autres
Publié: (2025)

PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning
par: Metelo, Frederico, et autres
Publié: (2024)

Locally Convex Global Loss Network for Decision-Focused Learning
par: Jeon, Haeun, et autres
Publié: (2024)