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federated learning

1333 papers

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Also known as

FL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1016) knowledge distillation (3725) data heterogeneity (115) non-iid datum (109) privacy preservation (380) model compression (3302) distributed optimization (275)

Papers

FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity AAAI 2024
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains AISTATS 2024
Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets AAAI 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024
Banded Square Root Matrix Factorization for Differentially Private Model Training NIPS 2024
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024
Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024
Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024
A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning AAAI 2024
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles AISTATS 2024
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks AAAI 2024
Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NIPS 2024
On the Role of Server Momentum in Federated Learning AAAI 2024
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NIPS 2024
Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024
Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NIPS 2024
Federated Experiment Design under Distributed Differential Privacy AISTATS 2024
Personalized PCA: Decoupling Shared and Unique Features JMLR 2024