:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Zexi, Lin, Jie, Li, Zhiqi, Zhu, Didi, Shen, Tao, Lin, Tao, Wu, Chao, Lane, Nicholas D.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.18949
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning
by: Shen, Tao, et al.
Published: (2025)

Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
by: Li, Zexi, et al.
Published: (2024)

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices
by: Shen, Tao, et al.
Published: (2025)

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
by: Zhu, Didi, et al.
Published: (2024)

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
by: Zhao, Ziyu, et al.
Published: (2024)

A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
by: Sun, Yan, et al.
Published: (2024)

Watch Wider and Think Deeper: Collaborative Cross-modal Chain-of-Thought for Complex Visual Reasoning
by: Lu, Wenting, et al.
Published: (2026)

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
by: Guo, Yongxin, et al.
Published: (2023)

FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning
by: Jiang, Zhonghua, et al.
Published: (2024)

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

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
by: Li, Zexi, et al.
Published: (2025)

FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
by: Xie, Jin, et al.
Published: (2024)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
by: Ye, Rui, et al.
Published: (2024)

Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity
by: Lin, Zhanran, et al.
Published: (2024)

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
by: Sun, Yan, et al.
Published: (2023)

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning
by: Zhao, Ziyu, et al.
Published: (2025)

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
by: Wu, Feijie, et al.
Published: (2024)

SparsyFed: Sparse Adaptive Federated Training
by: Guastella, Adriano, et al.
Published: (2025)

Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
by: Li, Zexi, et al.
Published: (2024)

Secure Vertical Federated Learning Under Unreliable Connectivity
by: Qiu, Xinchi, et al.
Published: (2023)

FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
by: Lin, Hui, et al.
Published: (2025)

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

FedUTR: Federated Recommendation with Augmented Universal Textual Representation for Sparse Interaction Scenarios
by: Fu, Kang, et al.
Published: (2026)

FedGTA: Topology-aware Averaging for Federated Graph Learning
by: Li, Xunkai, et al.
Published: (2024)

Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
by: Shaik, Thanveer, et al.
Published: (2023)

FedBiF: Communication-Efficient Federated Learning via Bits Freezing
by: Li, Shiwei, et al.
Published: (2025)

Learn How to Query from Unlabeled Data Streams in Federated Learning
by: Sun, Yuchang, et al.
Published: (2024)

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
by: Feng, Tao, et al.
Published: (2025)

CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
by: Li, Ludi, et al.
Published: (2025)

Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology
by: Lin, Yang, et al.
Published: (2024)

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
by: Zhu, Yinlin, et al.
Published: (2024)

FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification
by: Bai, Jun, et al.
Published: (2025)

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization
by: Shen, Li, et al.
Published: (2026)

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
by: Yang, Jinluan, et al.
Published: (2024)

Bringing Federated Learning to Space
by: Kim, Grace, et al.
Published: (2025)

FedSC: Federated Learning with Semantic-Aware Collaboration
by: Wang, Huan, et al.
Published: (2025)

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

Fed3D: Federated 3D Object Detection
by: Dai, Suyan, et al.
Published: (2026)

FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks
by: Chen, Jian, et al.
Published: (2025)

Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
by: Shaik, Thanveer, et al.
Published: (2023)