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federated learning

1320 papers

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Also known as

FCL FGL FL FL OR NULL FEDMD FEDA AFL PPFL PFL FEDDG FHGL

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

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
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024
Low Precision Local Training is Enough for Federated Learning NIPS 2024
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024
FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024
A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024
Federated Automatic Differentiation JMLR 2024
BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024
Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NIPS 2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024