:: Library Catalog

Нүүр зураг

-д хадгалсан:

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Yang, Nuocheng, Wang, Sihua, Yang, Zhaohui, Chen, Mingzhe, Yin, Changchuan, Huang, Kaibin
Формат:	Preprint
Хэвлэсэн:	2026
Нөхцлүүд:	Machine Learning Artificial Intelligence
Онлайн хандалт:	https://arxiv.org/abs/2602.20003
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

Ижил төстэй зүйлс

Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA
-н: Yang, Nuocheng, зэрэг
Хэвлэсэн: (2026)

Digital Over-the-Air Federated Learning in Multi-Antenna Systems
-н: Wang, Sihua, зэрэг
Хэвлэсэн: (2023)

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
-н: Zhu, Yujiao, зэрэг
Хэвлэсэн: (2024)

Video Semantic Communication with Major Object Extraction and Contextual Video Encoding
-н: Li, Haopeng, зэрэг
Хэвлэсэн: (2024)

Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization
-н: Yang, Shaoran, зэрэг
Хэвлэсэн: (2025)

LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
-н: Zhang, Jierui, зэрэг
Хэвлэсэн: (2024)

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
-н: Azimi-Abarghouyi, Seyed Mohammad, зэрэг
Хэвлэсэн: (2025)

QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution
-н: Wang, Zixi, зэрэг
Хэвлэсэн: (2023)

Differentially Private Federated Clustering with Random Rebalancing
-н: Yang, Xiyuan, зэрэг
Хэвлэсэн: (2025)

Decentralized Federated Learning: A Survey on Security and Privacy
-н: Hallaji, Ehsan, зэрэг
Хэвлэсэн: (2024)

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
-н: Zhang, Ke, зэрэг
Хэвлэсэн: (2024)

Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning
-н: Wang, Kun, зэрэг
Хэвлэсэн: (2024)

Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
-н: Chen, Xiaolu, зэрэг
Хэвлэсэн: (2025)

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
-н: Li, Yuecheng, зэрэг
Хэвлэсэн: (2024)

Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning
-н: Lee, Kichang, зэрэг
Хэвлэсэн: (2024)

A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning
-н: Tertulino, Rodrigo, зэрэг
Хэвлэсэн: (2026)

Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients
-н: Nguyen, Minh Duong, зэрэг
Хэвлэсэн: (2024)

Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design
-н: Xing, Ziqing, зэрэг
Хэвлэсэн: (2025)

FedPSA: Modeling Behavioral Staleness in Asynchronous Federated Learning
-н: Lu, Chaoyi, зэрэг
Хэвлэсэн: (2026)

FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations
-н: Tan, Zhizhong, зэрэг
Хэвлэсэн: (2025)

Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
-н: He, Yuting, зэрэг
Хэвлэсэн: (2025)

A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
-н: Yan, Yunlu, зэрэг
Хэвлэсэн: (2023)

Bayesian Federated Learning for Continual Training
-н: Milasheuski, Usevalad, зэрэг
Хэвлэсэн: (2025)

BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
-н: Xu, Yuhang, зэрэг
Хэвлэсэн: (2026)

Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
-н: Ye, Tiandi, зэрэг
Хэвлэсэн: (2025)

Federated Learning with New Knowledge: Fundamentals, Advances, and Futures
-н: Wang, Lixu, зэрэг
Хэвлэсэн: (2024)

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
-н: Bian, Jieming, зэрэг
Хэвлэсэн: (2025)

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
-н: Peng, Yuanzhe, зэрэг
Хэвлэсэн: (2025)

Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
-н: Piran, Fardin Jalil, зэрэг
Хэвлэсэн: (2024)

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
-н: Lee, Seanie, зэрэг
Хэвлэсэн: (2025)

Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
-н: Lin, Zheng, зэрэг
Хэвлэсэн: (2023)

On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning
-н: Yang, Zhi, зэрэг
Хэвлэсэн: (2025)

VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
-н: Chen, Yang, зэрэг
Хэвлэсэн: (2025)

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning
-н: Auddy, Arnab, зэрэг
Хэвлэсэн: (2026)

Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning
-н: Ranaweera, Kanishka, зэрэг
Хэвлэсэн: (2025)

SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
-н: Fan, Tao, зэрэг
Хэвлэсэн: (2021)

Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
-н: Cajaraville-Aboy, Diego, зэрэг
Хэвлэсэн: (2024)

Adaptive Guidance for Local Training in Heterogeneous Federated Learning
-н: Zhang, Jianqing, зэрэг
Хэвлэсэн: (2024)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
-н: Yin, Qiyue, зэрэг
Хэвлэсэн: (2022)

Federated Graph Learning for Cross-Domain Recommendation
-н: Yang, Ziqi, зэрэг
Хэвлэсэн: (2024)