Co-occurring keywords · papers mentioning both
Papers
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game
IJCAI 2024
Momentum Benefits Non-iid Federated Learning Simply and Provably
ICLR 2024
On-Demand Federated Learning for Arbitrary Target Class Distributions
AISTATS 2024
On the Convergence of Hierarchical Federated Learning with Partial Worker Participation
UAI 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NeurIPS 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
CVPR 2024
Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
ICLR 2024
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
ICML 2023
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration
ICCV 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
CVPR 2023
Decentralized Learning With Multi-Headed Distillation
CVPR 2023
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics
CVPR 2023
Efficient Federated Domain Translation
ICLR 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
NeurIPS 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning
AAAI 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
ICML 2023
Federated Cross Learning for Medical Image Segmentation
MIDL 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
EMNLP 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
AAAI 2023
Federated Learning via Meta-Variational Dropout
NeurIPS 2023
Federated Learning With Data-Agnostic Distribution Fusion
CVPR 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning
AAAI 2023
FedFA: Federated Feature Augmentation
ICLR 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP
ACL 2023