Saved in:
| Main Authors: | Hu, Yi, Zuo, Jinhang, Zhao, Alanis, Iannucci, Bob, Joe-Wong, Carlee |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.18451 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
by: Hu, Yi, et al.
Published: (2023)
by: Hu, Yi, et al.
Published: (2023)
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
by: Hu, Yi, et al.
Published: (2025)
by: Hu, Yi, et al.
Published: (2025)
Foundation Models for CPS-IoT: Opportunities and Challenges
by: Baris, Ozan, et al.
Published: (2025)
by: Baris, Ozan, et al.
Published: (2025)
Continuous Semantic Caching for Low-Cost LLM Serving
by: Atalar, Baran, et al.
Published: (2026)
by: Atalar, Baran, et al.
Published: (2026)
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
by: Liu, Xutong, et al.
Published: (2022)
by: Liu, Xutong, et al.
Published: (2022)
Toward Foundation Models for Online Complex Event Detection in CPS-IoT: A Case Study
by: Han, Liying, et al.
Published: (2025)
by: Han, Liying, et al.
Published: (2025)
A Unified View of IoT And CPS Security and Privacy
by: Luo, Lan, et al.
Published: (2022)
by: Luo, Lan, et al.
Published: (2022)
KESIC: Kerberos Extensions for Smart, IoT and CPS Devices
by: Prapty, Renascence Tarafder, et al.
Published: (2024)
by: Prapty, Renascence Tarafder, et al.
Published: (2024)
Offline Learning for Combinatorial Multi-armed Bandits
by: Liu, Xutong, et al.
Published: (2025)
by: Liu, Xutong, et al.
Published: (2025)
Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
by: Liu, Xutong, et al.
Published: (2025)
by: Liu, Xutong, et al.
Published: (2025)
MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance
by: Nourzad, Narjes, et al.
Published: (2026)
by: Nourzad, Narjes, et al.
Published: (2026)
Neural Combinatorial Clustered Bandits for Recommendation Systems
by: Atalar, Baran, et al.
Published: (2024)
by: Atalar, Baran, et al.
Published: (2024)
Memory-Based Advantage Shaping for LLM-Guided Reinforcement Learning
by: Nourzad, Narjes, et al.
Published: (2026)
by: Nourzad, Narjes, et al.
Published: (2026)
M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural Networks
by: Guda, Blessed, et al.
Published: (2025)
by: Guda, Blessed, et al.
Published: (2025)
Towards Remotely Verifiable Software Integrity in Resource-Constrained IoT Devices
by: Nunes, Ivan De Oliveira, et al.
Published: (2024)
by: Nunes, Ivan De Oliveira, et al.
Published: (2024)
PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)
Performance Guarantees for Data Freshness in Resource-Constrained Adversarial IoT Systems
by: Dadlani, Aresh, et al.
Published: (2025)
by: Dadlani, Aresh, et al.
Published: (2025)
FedTLU: Federated Learning with Targeted Layer Updates
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
Federated Learning with Flexible Architectures
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
Federated Learning-Distillation Alternation for Resource-Constrained IoT
by: da Silva, Rafael Valente, et al.
Published: (2025)
by: da Silva, Rafael Valente, et al.
Published: (2025)
Federated Hyperdimensional Computing for Resource-Constrained Industrial IoT
by: Zeulin, Nikita, et al.
Published: (2026)
by: Zeulin, Nikita, et al.
Published: (2026)
TickTalk -- Timing API for Dynamically Federated Cyber-Physical Systems
by: Iannucci, Bob, et al.
Published: (2019)
by: Iannucci, Bob, et al.
Published: (2019)
Towards Robust IoT Defense: Comparative Statistics of Attack Detection in Resource-Constrained Scenarios
by: Alwaisi, Zainab, et al.
Published: (2024)
by: Alwaisi, Zainab, et al.
Published: (2024)
Securing 5G ‐Enabled CPS and IoT With VANET : Key Agreement Methods for Enhanced Identification
by: P. B. Smitha, et al.
Published: (2025)
by: P. B. Smitha, et al.
Published: (2025)
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
by: Yang, Hanqing, et al.
Published: (2024)
by: Yang, Hanqing, et al.
Published: (2024)
Neural Bandit Based Optimal LLM Selection for a Pipeline of Subtasks
by: Atalar, Baran, et al.
Published: (2025)
by: Atalar, Baran, et al.
Published: (2025)
Cost-Ordered Feasibility for Multi-Armed Bandits with Cost Subsidy
by: Juneja, Ishank, et al.
Published: (2026)
by: Juneja, Ishank, et al.
Published: (2026)
Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
by: Juneja, Ishank, et al.
Published: (2025)
by: Juneja, Ishank, et al.
Published: (2025)
Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry
by: Zhang, Zuyuan, et al.
Published: (2026)
by: Zhang, Zuyuan, et al.
Published: (2026)
Optimized Arithmetic Coding for Efficient Data Compression in the Resource-Constrained Internet of Things(IoT)
by: Upadhyay, Vatsala, et al.
Published: (2025)
by: Upadhyay, Vatsala, et al.
Published: (2025)
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
Offline Clustering of Linear Bandits: The Power of Clusters under Limited Data
by: Liu, Jingyuan, et al.
Published: (2025)
by: Liu, Jingyuan, et al.
Published: (2025)
WebAssembly on Resource-Constrained IoT Devices: Performance, Efficiency, and Portability
by: Has, Mislav, et al.
Published: (2025)
by: Has, Mislav, et al.
Published: (2025)
Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices
by: Ieropoulos, Vasilis, et al.
Published: (2026)
by: Ieropoulos, Vasilis, et al.
Published: (2026)
AES‐8: A Lightweight AES for Resource‐Constrained IoT Devices
by: Sumit Singh Dhanda, et al.
Published: (2025)
by: Sumit Singh Dhanda, et al.
Published: (2025)
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
by: Zhang, Xuechen, et al.
Published: (2024)
by: Zhang, Xuechen, et al.
Published: (2024)
LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning
by: Yang, Hanqing, et al.
Published: (2025)
by: Yang, Hanqing, et al.
Published: (2025)
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
by: Lin, I-Cheng, et al.
Published: (2024)
by: Lin, I-Cheng, et al.
Published: (2024)
A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis
by: Wei, Hui, et al.
Published: (2025)
by: Wei, Hui, et al.
Published: (2025)
PubSwap: Public-Data Off-Policy Coordination for Federated RLVR
by: Nayak, Anupam, et al.
Published: (2026)
by: Nayak, Anupam, et al.
Published: (2026)
Similar Items
-
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
by: Hu, Yi, et al.
Published: (2023) -
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
by: Hu, Yi, et al.
Published: (2025) -
Foundation Models for CPS-IoT: Opportunities and Challenges
by: Baris, Ozan, et al.
Published: (2025) -
Continuous Semantic Caching for Low-Cost LLM Serving
by: Atalar, Baran, et al.
Published: (2026) -
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
by: Liu, Xutong, et al.
Published: (2022)