LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
Fuente:
arXiv
Saved in:
| Main Authors: | Ding, Chuntao, Cao, Xu, Xie, Jianhang, Fan, Linlin, Wang, Shangguang, Lu, Zhichao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GroupNL: Low-Resource and Robust CNN Design over Cloud and Device
by: Ding, Chuntao, et al.
Published: (2025)
by: Ding, Chuntao, et al.
Published: (2025)
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025)
by: Zhu, Zhanda, et al.
Published: (2025)
NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN
by: Xie, Jianhang, et al.
Published: (2025)
by: Xie, Jianhang, et al.
Published: (2025)
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
by: Liu, Jianmin, et al.
Published: (2025)
by: Liu, Jianmin, et al.
Published: (2025)
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
by: Cho, Yae Jee, et al.
Published: (2024)
by: Cho, Yae Jee, et al.
Published: (2024)
FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning
by: Li, Rukuo, et al.
Published: (2025)
by: Li, Rukuo, et al.
Published: (2025)
Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients
by: Zhang, Zikai, et al.
Published: (2024)
by: Zhang, Zikai, et al.
Published: (2024)
ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
by: Zuo, Jingwei, et al.
Published: (2026)
by: Zuo, Jingwei, et al.
Published: (2026)
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning
by: QI, Jiaxing, et al.
Published: (2024)
by: QI, Jiaxing, et al.
Published: (2024)
Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation
by: Zhang, Zikai, et al.
Published: (2025)
by: Zhang, Zikai, et al.
Published: (2025)
Stabilizing Decentralized Federated Fine-Tuning via Topology-Aware Alternating LoRA
by: Wang, Xiaoyu, et al.
Published: (2026)
by: Wang, Xiaoyu, et al.
Published: (2026)
InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models
by: Chen, Hongyu, et al.
Published: (2026)
by: Chen, Hongyu, et al.
Published: (2026)
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
by: Liu, Han, et al.
Published: (2025)
by: Liu, Han, et al.
Published: (2025)
pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
by: Yi, Liping, et al.
Published: (2023)
by: Yi, Liping, et al.
Published: (2023)
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning
by: Tahir, Anique, et al.
Published: (2024)
by: Tahir, Anique, et al.
Published: (2024)
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)
by: Sheng, Ying, et al.
Published: (2023)
Federated LoRA with Sparse Communication
by: Kuo, Kevin, et al.
Published: (2024)
by: Kuo, Kevin, et al.
Published: (2024)
CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference
by: Li, Suyi, et al.
Published: (2024)
by: Li, Suyi, et al.
Published: (2024)
Energy-aware Incremental OTA Update for Flash-based Batteryless IoT Devices
by: Wei, Wei, et al.
Published: (2024)
by: Wei, Wei, et al.
Published: (2024)
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaS
by: Chen, Shuaijun, et al.
Published: (2024)
by: Chen, Shuaijun, et al.
Published: (2024)
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
by: Jhunjhunwala, Divyansh, et al.
Published: (2025)
by: Jhunjhunwala, Divyansh, et al.
Published: (2025)
Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA
by: Chen, Shuangyi, et al.
Published: (2024)
by: Chen, Shuangyi, et al.
Published: (2024)
Predictive-LoRA: A Proactive and Fragmentation-Aware Serverless Inference System for LLMs
by: Ni, Yinan, et al.
Published: (2025)
by: Ni, Yinan, et al.
Published: (2025)
ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs
by: Sui, Yifan, et al.
Published: (2025)
by: Sui, Yifan, et al.
Published: (2025)
HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning
by: Liu, Qianli, et al.
Published: (2025)
by: Liu, Qianli, et al.
Published: (2025)
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models
by: Singhal, Raghav, et al.
Published: (2024)
by: Singhal, Raghav, et al.
Published: (2024)
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
by: Lin, Zheng, et al.
Published: (2024)
by: Lin, Zheng, et al.
Published: (2024)
Improving LoRA in Privacy-preserving Federated Learning
by: Sun, Youbang, et al.
Published: (2024)
by: Sun, Youbang, et al.
Published: (2024)
LoRA-based Parameter-Efficient LLMs for Continuous Learning in Edge-based Malware Detection
by: Rondanini, Christian, et al.
Published: (2026)
by: Rondanini, Christian, et al.
Published: (2026)
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
by: Lyu, Chenghao, et al.
Published: (2024)
by: Lyu, Chenghao, et al.
Published: (2024)
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
by: Lin, Zheng, et al.
Published: (2025)
by: Lin, Zheng, et al.
Published: (2025)
Analysis of Distributed Average Consensus Algorithms for Robust IoT networks
by: Dhuli, Sateeshkrishna, et al.
Published: (2021)
by: Dhuli, Sateeshkrishna, et al.
Published: (2021)
HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
by: Su, Yang, et al.
Published: (2024)
by: Su, Yang, et al.
Published: (2024)
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
by: Zhai, Wenbin, et al.
Published: (2023)
by: Zhai, Wenbin, et al.
Published: (2023)
Pruning Blockchain Protocols for Efficient Access Control in IoT Systems
by: Huang, Yongtao, et al.
Published: (2024)
by: Huang, Yongtao, et al.
Published: (2024)
Memory-Efficient Split Federated Learning for LLM Fine-Tuning on Heterogeneous Mobile Devices
by: Chen, Xiaopei, et al.
Published: (2025)
by: Chen, Xiaopei, et al.
Published: (2025)
Future-Proofing IoT: Unleashing the Power of AWS Greengrass in Propelling Smart Devices to New Heights
by: Kokkula, Sahasra, et al.
Published: (2024)
by: Kokkula, Sahasra, et al.
Published: (2024)
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices
by: Molina, Romina Soledad, et al.
Published: (2025)
by: Molina, Romina Soledad, et al.
Published: (2025)
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
by: Ochiai, Hideya, et al.
Published: (2024)
by: Ochiai, Hideya, et al.
Published: (2024)
Can LoRA Fusion Support Cross-Domain Tasks in Cloud-Edge Collaboration?
by: Wang, Yatong, et al.
Published: (2026)
by: Wang, Yatong, et al.
Published: (2026)
Similar Items
-
GroupNL: Low-Resource and Robust CNN Design over Cloud and Device
by: Ding, Chuntao, et al.
Published: (2025) -
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025) -
NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN
by: Xie, Jianhang, et al.
Published: (2025) -
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
by: Liu, Jianmin, et al.
Published: (2025) -
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
by: Cho, Yae Jee, et al.
Published: (2024)