:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Qingqian, Wang, Hao, Zhang, Sai Qian, Li, Jian, Hua, Yang, Pan, Miao, Song, Tao, Qi, Zhengwei, Guan, Haibing
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.14401
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning
by: Yu, Kuai, et al.
Published: (2025)

FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning
by: Yan, Peishen, et al.
Published: (2026)

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding
by: Yan, Peishen, et al.
Published: (2024)

NaviTrace: Evaluating Embodied Navigation of Vision-Language Models
by: Windecker, Tim, et al.
Published: (2025)

Eliminating Domain Bias for Federated Learning in Representation Space
by: Zhang, Jianqing, et al.
Published: (2023)

Poisoning with A Pill: Circumventing Detection in Federated Learning
by: Guo, Hanxi, et al.
Published: (2024)

SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version)
by: Liang, Shuang, et al.
Published: (2026)

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
by: Lai, Jiahao, et al.
Published: (2024)

FWeb3: A Practical Incentive-Aware Federated Learning Framework
by: Yan, Peishen, et al.
Published: (2026)

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
by: Yan, Peishen, et al.
Published: (2023)

Fed MobiLLM: Efficient Federated LLM Fine-Tuning over Heterogeneous Mobile Devices via Server Assisted Side-Tuning
by: Yang, Xingke, et al.
Published: (2025)

DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies
by: Yang, Ning, et al.
Published: (2025)

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
by: Zhang, Jianqing, et al.
Published: (2024)

NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks
by: Luo, Zhihao, et al.
Published: (2025)

pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
by: Ghiasvand, Sajjad, et al.
Published: (2025)

A Deployable Embodied Vision-Language Navigation System with Hierarchical Cognition and Context-Aware Exploration
by: Xu, Kuan, et al.
Published: (2026)

ReasonNavi: Human-Inspired Global Map Reasoning for Zero-Shot Embodied Navigation
by: Ao, Yuzhuo, et al.
Published: (2026)

THOR: A Generic Energy Estimation Approach for On-Device Training
by: Zhang, Jiaru, et al.
Published: (2025)

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
by: Wu, Xiaoyu, et al.
Published: (2024)

Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks
by: Wu, Xiaoyu, et al.
Published: (2024)

PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
by: Zhang, Jianqing, et al.
Published: (2023)

FedVLM: Scalable Personalized Vision-Language Models through Federated Learning
by: Mitra, Arkajyoti, et al.
Published: (2025)

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2024)

Personalized Embodied Navigation for Portable Object Finding
by: Dorbala, Vishnu Sashank, et al.
Published: (2024)

FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation
by: Miao, Cui, et al.
Published: (2025)

Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation
by: Chen, Meng, et al.
Published: (2024)

LCD: Advancing Extreme Low-Bit Clustering for Large Language Models via Knowledge Distillation
by: Liu, Fangxin, et al.
Published: (2025)

FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts
by: Xu, Xin, et al.
Published: (2026)

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

WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models
by: Feng, Tao, et al.
Published: (2025)

Structure-Aware Distributed Backdoor Attacks in Federated Learning
by: Jian, Wang, et al.
Published: (2026)

Uni-LaViRA: Language-Vision-Robot Actions Translation for Unified Embodied Navigation
by: Ding, Hongyu, et al.
Published: (2026)

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation
by: Zhao, He, et al.
Published: (2026)

Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation
by: Prasanna, Sai, et al.
Published: (2024)

FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification
by: Yu, Po-Hsien, et al.
Published: (2025)

FedAPM: Federated Learning via ADMM with Partial Model Personalization
by: Zhu, Shengkun, et al.
Published: (2025)

Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation
by: Wang, Qi, et al.
Published: (2025)

EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis
by: Pan, Xuanguang, et al.
Published: (2026)

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
by: Guan, Weifan, et al.
Published: (2025)

M3TR: Temporal Retrieval Enhanced Multi-Modal Micro-video Popularity Prediction
by: Lu, Jiacheng, et al.
Published: (2024)