Cover Image

Federated Co-tuning Framework for Large and Small Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Tao, Kang, Yan, Ma, Guoqiang, Fan, Lixin, Liu, Shuoling, Chen, Kai, Yang, Qiang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
by: Fan, Tao, et al.
Published: (2024)

FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)

PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
by: Fan, Tao, et al.
Published: (2025)

FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom
by: He, Yuanqin, et al.
Published: (2024)

SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
by: Fan, Tao, et al.
Published: (2021)

Improving Phishing Email Detection Performance of Small Large Language Models
by: Lin, Zijie, et al.
Published: (2025)

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
by: Fan, Tao, et al.
Published: (2026)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)

Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)

Large-Small Model Collaborative Framework for Federated Continual Learning
by: Yu, Hao, et al.
Published: (2025)

The Cost of Thinking: Increased Jailbreak Risk in Large Language Models
by: Yang, Fan
Published: (2025)

Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
by: Bai, Jiamu, et al.
Published: (2024)

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
by: Kim, Kyeonghyun, et al.
Published: (2025)

Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)

Grounding Foundation Models through Federated Transfer Learning: A General Framework
by: Kang, Yan, et al.
Published: (2023)

DaSAThco: Data-Aware SAT Heuristics Combinations Optimization via Large Language Models
by: Chen, Minyu, et al.
Published: (2025)

AdEval: Alignment-based Dynamic Evaluation to Mitigate Data Contamination in Large Language Models
by: Fan, Yang
Published: (2025)

A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning
by: Zhang, Xiaojin, et al.
Published: (2023)

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
by: Wang, Yibo, et al.
Published: (2025)

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
by: Yang, Yu, et al.
Published: (2024)

Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
by: Chen, Hao, et al.
Published: (2026)

Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models
by: Ji, Xiaoshuang, et al.
Published: (2025)

FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models
by: Li, Chuan, et al.
Published: (2025)

Sensitivity of Small Language Models to Fine-tuning Data Contamination
by: Scaria, Nicy, et al.
Published: (2025)

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration
by: Ma, Zerun, et al.
Published: (2026)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)

AlpaCare:Instruction-tuned Large Language Models for Medical Application
by: Zhang, Xinlu, et al.
Published: (2023)

Semi-supervised Fine-tuning for Large Language Models
by: Luo, Junyu, et al.
Published: (2024)

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies
by: Xiong, Tao, et al.
Published: (2025)

Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems
by: Kai, Ding, et al.
Published: (2024)

THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
by: Ma, Zhiqing, et al.
Published: (2026)

When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
by: Zheng, Yingming, et al.
Published: (2025)

JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework
by: Liu, Fan, et al.
Published: (2024)

Can Large Language Models Express Uncertainty Like Human?
by: Tao, Linwei, et al.
Published: (2025)

Fine-tuning Small Language Models as Efficient Enterprise Search Relevance Labelers
by: Kang, Yue, et al.
Published: (2026)

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
by: Wang, Haochun, et al.
Published: (2023)

Collaborative Stance Detection via Small-Large Language Model Consistency Verification
by: Yan, Yu, et al.
Published: (2025)

Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
by: Juneja, Gurusha, et al.
Published: (2023)

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)

Efficient Long CoT Reasoning in Small Language Models
by: Wang, Zhaoyang, et al.
Published: (2025)