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Federated Learning

1355 directly classified papers

Papers per year

Papers

Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox NIPS 2022
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models NIPS 2022
Global Convergence of Federated Learning for Mixed Regression NIPS 2022
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NIPS 2022
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression NIPS 2022
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NIPS 2022
FLAIR: Federated Learning Annotated Image Repository NIPS 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NIPS 2022
Communication Efficient Federated Learning for Generalized Linear Bandits NIPS 2022
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning NIPS 2022
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning NIPS 2022
Hierarchical Bayesian Bandits AISTATS 2022
Federated Model Decomposition with Private Vocabulary for Text Classification EMNLP 2022
Federated Functional Gradient Boosting AISTATS 2022
Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022
Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NIPS 2022
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NIPS 2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures NIPS 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NIPS 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits NIPS 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering NIPS 2022
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity NIPS 2022
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning NIPS 2022