"data heterogeneity" Papers

Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning

Mingyuan Fan, Zhanyi Hu, Fuyi Wang et al.

Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning

Dipam Goswami, Simone Magistri, Kai Wang et al.

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees

Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis et al.

DEPT: Decoupled Embeddings for Pre-training Language Models

Alex Iacob, Lorenzo Sani, Meghdad Kurmanji et al.

DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning

Yueyang Yuan, Wenke Huang, Guancheng Wan et al.

DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity

Zhen Qin, Zhuqing Liu, Songtao Lu et al.

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning

Zhiqiang Li, Haiyong Bao, Menghong Guan et al.

Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients

Shiyuan Zuo, Xingrun Yan, Rongfei Fan et al.

Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable

Bicheng Ying, Zhe Li, Haibo Yang

FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors

Changlong Shi, He Zhao, Bingjie Zhang et al.

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models

Haokun Chen, Hang Li, Yao Zhang et al.

FedEL: Federated Elastic Learning for Heterogeneous Devices

Letian Zhang, Bo Chen, Jieming Bian et al.

Federated Continual Instruction Tuning

Haiyang Guo, Fanhu Zeng, Fei Zhu et al.

Federated Residual Low-Rank Adaption of Large Language Models

Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo et al.

FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning

Zhiqin Yang, Yonggang Zhang, Chenxin Li et al.

FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling

Hong Huang, Jinhai Yang, Yuan Chen et al.

FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization

Seung-Wook Kim, Seongyeol Kim, Jiah Kim et al.

Flick: Empowering Federated Learning with Commonsense Knowledge

Ran Zhu, Mingkun Yang, Shiqiang Wang et al.

Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning

Yanbiao Ma, Wei Dai, Wenke Huang et al.

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning

Danni Peng, Yuan Wang, Huazhu Fu et al.

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch

Yijie Liu, Xinyi Shang, Yiqun Zhang et al.

Problem-Parameter-Free Federated Learning

Wenjing Yan, Kai Zhang, Xiaolu Wang et al.

Query-based Knowledge Transfer for Heterogeneous Learning Environments

Norah Alballa, Wenxuan Zhang, Ziquan Liu et al.

Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity

Kumar Kshitij Patel, Ali Zindari, Sebastian Stich et al.

Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths

Sheng Huang, Lele Fu, Fanghua Ye et al.

SparsyFed: Sparse Adaptive Federated Learning

Adriano Guastella, Lorenzo Sani, Alex Iacob et al.

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation

Xinghao Wu, Xuefeng Liu, Jianwei Niu et al.

Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness

Haoming Wang, Wei Gao

Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training

You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data

Shanshan Yan, Zexi Li, Chao Wu et al.

A New Theoretical Perspective on Data Heterogeneity in Federated Optimization

Jiayi Wang, Shiqiang Wang, Rong-Rong Chen et al.

Clustered Federated Learning via Gradient-based Partitioning

Heasung Kim, Hyeji Kim, Gustavo De Veciana

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler

Hongyi Peng, Han Yu, Xiaoli Tang et al.

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

Shanli Tan, Hao Cheng, Xiaohu Wu et al.

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning

Haokun Chen, Yao Zhang, Denis Krompass et al.

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing

Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.

Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity

Yiyue Chen, Haris Vikalo, Chianing Wang

Harmonizing Generalization and Personalization in Federated Prompt Learning

Tianyu Cui, Hongxia Li, Jingya Wang et al.

Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization

Ziqing Fan, Shengchao Hu, Jiangchao Yao et al.

On the Role of Server Momentum in Federated Learning

Jianhui Sun, Xidong Wu, Heng Huang et al.

Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Chun-Yin Huang, Kartik Srinivas, Xin Zhang et al.

Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective

Yajie Bao, Michael Crawshaw, Mingrui Liu

Ranking-based Client Imitation Selection for Efficient Federated Learning

Chunlin Tian, Zhan Shi, Xinpeng Qin et al.

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning

Wenke Huang, Zekun Shi, Mang Ye et al.

Towards Efficient Replay in Federated Incremental Learning

Yichen Li, Qunwei Li, Haozhao Wang et al.

Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents

Yuqi Jia, Saeed Vahidian, Jingwei Sun et al.

Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning

wenlong deng, Christos Thrampoulidis, Xiaoxiao Li