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Federated Learning

497 directly classified papers

Papers per year

Papers

DAGER: Exact Gradient Inversion for Large Language Models NIPS 2024
Low Precision Local Training is Enough for Federated Learning NIPS 2024
A Kernel Perspective on Distillation-based Collaborative Learning NIPS 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NIPS 2024
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization NIPS 2023
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NIPS 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly NIPS 2023
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 2023
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023
Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023
FedLab: A Flexible Federated Learning Framework JMLR 2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter ACL 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023
Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023
Dropout Is NOT All You Need to Prevent Gradient Leakage AAAI 2023
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning ICML 2023
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NIPS 2023
Federated Multi-Objective Learning NIPS 2023