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Federated Learning

497 directly classified papers

Papers per year

Papers

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023
Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework AAAI 2023
Faster Adaptive Federated Learning AAAI 2023
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023
FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023
DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023
Bayesian Federated Neural Matching That Completes Full Information AAAI 2023
Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022
Transfer Learning In Differential Privacy’s Hybrid-Model ICML 2022
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling ICML 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022