conftrace_

federated learning

1320 papers

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Also known as

FL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

Collaboratively Learning Linear Models with Structured Missing Data NIPS 2023

Federated Learning via Meta-Variational Dropout NIPS 2023

FedL2P: Federated Learning to Personalize NIPS 2023

Flow: Per-instance Personalized Federated Learning NIPS 2023

Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning NIPS 2023

Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction 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

Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NIPS 2023

A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting 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

Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense NIPS 2023

Federated Linear Bandits with Finite Adversarial Actions 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

Contextual Stochastic Bilevel Optimization NIPS 2023

FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NIPS 2023

FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning NIPS 2023

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NIPS 2023