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Federated Learning

1355 directly classified papers

Papers per year

Papers

HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023
Towards Understanding Ensemble Distillation in Federated Learning ICML 2023
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023
Secure Federated Correlation Test and Entropy Estimation ICML 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation ICCV 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier ICCV 2023
Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation IJCAI 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023
Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning IJCAI 2023
Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning ICCV 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023
On the Convergence of Federated Averaging with Cyclic Client Participation ICML 2023
Make Landscape Flatter in Differentially Private Federated Learning CVPR 2023
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits ICML 2023