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Federated Learning

1355 directly classified papers

Papers per year

Papers

Practical Differentially Private Hyperparameter Tuning with Subsampling NIPS 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NIPS 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data NIPS 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NIPS 2023
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NIPS 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NIPS 2023
Federated Multi-Objective Learning NIPS 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection NIPS 2023
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NIPS 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation NIPS 2023
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data NIPS 2023
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense NIPS 2023
Federated Linear Bandits with Finite Adversarial Actions NIPS 2023
Finding Local Minima Efficiently in Decentralized Optimization NIPS 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation NIPS 2023
Dynamic Personalized Federated Learning with Adaptive Differential Privacy NIPS 2023
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy NIPS 2023
FedNAR: Federated Optimization with Normalized Annealing Regularization NIPS 2023
(Amplified) Banded Matrix Factorization: A unified approach to private training NIPS 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence NIPS 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits NIPS 2023
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NIPS 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NIPS 2023
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning NIPS 2023