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Papers
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
CVPR 2024
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
ICLR 2024
Less is Fed More: Sparsity Reduces Feature Distortion in Federated Learning
EMNLP 2024
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework
IJCAI 2024
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
ICLR 2024
Local and Global Flatness for Federated Domain Generalization
ECCV 2024
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
ICML 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
NeurIPS 2024
Low Precision Local Training is Enough for Federated Learning
NeurIPS 2024
LR-XFL: Logical Reasoning-Based Explainable Federated Learning
AAAI 2024
Machine Unlearning: Challenges in Data Quality and Access
IJCAI 2024
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
CVPR 2024
Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning
WACV 2024
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks
IJCAI 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
ICML 2024
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles
AISTATS 2024
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
WACV 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices
CVPR 2024
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning
WACV 2024
Momentum Benefits Non-iid Federated Learning Simply and Provably
ICLR 2024
Multi-Dimensional Fair Federated Learning
AAAI 2024
Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning
NAACL 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
NeurIPS 2024
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
AAAI 2024
On Convergence of Federated Averaging Langevin Dynamics
UAI 2024