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Federated Learning

969 papers

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Papers

A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023 A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NeurIPS 2023 Bayesian Federated Learning: A Survey IJCAI 2023 Bayesian Federated Neural Matching That Completes Full Information AAAI 2023 Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework AAAI 2023 Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning ICML 2023 Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023 Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023 Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023 Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter ACL 2023 Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Decentralized Learning With Multi-Headed Distillation CVPR 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023 Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023 Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023 Distributed Offline Policy Optimization Over Batch Data AISTATS 2023