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Federated Learning

551 directly classified papers

Papers per year

Papers

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023
PGFed: Personalize Each Client's Global Objective for Federated Learning ICCV 2023
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning WACV 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023
Almost Cost-Free Communication in Federated Best Arm Identification AAAI 2023
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces AAAI 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023
FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023
FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023
Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023
Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023
Private Non-Convex Federated Learning Without a Trusted Server AISTATS 2023
On Generalization of Decentralized Learning with Separable Data AISTATS 2023
Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023
Mean Estimation with User-level Privacy under Data Heterogeneity NIPS 2022
Personalized Online Federated Learning with Multiple Kernels NIPS 2022
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NIPS 2022
Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022