Cover Image

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Tuo, Feng, Tiantian, Alam, Samiul, Dimitriadis, Dimitrios, Lee, Sunwoo, Zhang, Mi, Narayanan, Shrikanth S., Avestimehr, Salman
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
by: Alam, Samiul, et al.
Published: (2023)

Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training
by: Lee, Sunwoo, et al.
Published: (2024)

Understanding Communication Backends in Cross-Silo Federated Learning
by: Ziashahabi, Amir, et al.
Published: (2026)

Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
by: Yang, Mengwei, et al.
Published: (2024)

BouquetFL: Emulating diverse participant hardware in Federated Learning
by: Geimer, Arno
Published: (2026)

CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models
by: Yi, Mengjun, et al.
Published: (2025)

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
by: Yang, Nan, et al.
Published: (2026)

FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios
by: Chen, Zekai, et al.
Published: (2024)

MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
by: Gao, Lei, et al.
Published: (2024)

FL-PBM: Pre-Training Backdoor Mitigation for Federated Learning
by: Wehbi, Osama, et al.
Published: (2026)

The Internet of Things in the Era of Generative AI: Vision and Challenges
by: Wang, Xin, et al.
Published: (2024)

Vertical Federated Learning Hybrid Local Pre-training
by: Li, Wenguo, et al.
Published: (2024)

An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
by: Zhang, Jianqing, et al.
Published: (2024)

FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning
by: Wen, Zhenyu, et al.
Published: (2024)

Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT
by: Popovic, Miroslav, et al.
Published: (2023)

MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism
by: Zhang, Zheng, et al.
Published: (2025)

UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
by: S, Sarang, et al.
Published: (2025)

Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Object Detection in Autonomous Driving
by: Ma, Yanan, et al.
Published: (2025)

AugFL: Augmenting Federated Learning with Pretrained Models
by: Yue, Sheng, et al.
Published: (2025)

GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning
by: Guo, Shunxin, et al.
Published: (2025)

PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale
by: Luqman, Alka, et al.
Published: (2024)

Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning
by: Zhang, Tianru, et al.
Published: (2022)

GeoFF: Federated Serverless Workflows with Data Pre-Fetching
by: Carl, Natalie, et al.
Published: (2024)

AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
by: Jia, Chentao, et al.
Published: (2023)

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
by: Ceyani, Emir, et al.
Published: (2025)

Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
by: Xiao, Bingnan, et al.
Published: (2026)

TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
by: Wang, Mengdi, et al.
Published: (2024)

CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance
by: Xia, Zeke, et al.
Published: (2024)

Empowering Data Mesh with Federated Learning
by: Li, Haoyuan, et al.
Published: (2024)

Towards Optimal Deterministic LOCAL Algorithms on Trees
by: Brandt, Sebastian, et al.
Published: (2025)

FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
by: Stricker, F., et al.
Published: (2025)

OCD-FL: A Novel Communication-Efficient Peer Selection-based Decentralized Federated Learning
by: Masmoudi, Nizar, et al.
Published: (2024)

ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Federated Learning Networks
by: Nazemi, Niousha, et al.
Published: (2024)

FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication
by: Zhou, Xinyu, et al.
Published: (2025)

Trustworthy Scheduling for Big Data Applications
by: Tomaras, Dimitrios, et al.
Published: (2026)

Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming
by: Xu, Ziyue, et al.
Published: (2025)

Photon: Federated LLM Pre-Training
by: Sani, Lorenzo, et al.
Published: (2024)

Taming the Memory Footprint Crisis: System Design for Production Diffusion LLM Serving
by: Fan, Jiakun, et al.
Published: (2025)

APEX: Asynchronous Parallel CPU-GPU Execution for Online LLM Inference on Constrained GPUs
by: Fan, Jiakun, et al.
Published: (2025)

EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
by: Li, Jiaxing, et al.
Published: (2024)