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

The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning CVPR 2023

Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023

How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023

Structured Federated Learning through Clustered Additive Modeling NIPS 2023

DELTA: Diverse Client Sampling for Fasting Federated Learning NIPS 2023

Fast Optimal Locally Private Mean Estimation via Random Projections NIPS 2023

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NIPS 2023

Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization NIPS 2023

Incentivizing Honesty among Competitors in Collaborative Learning and Optimization NIPS 2023

One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NIPS 2023

A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning NIPS 2023

EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning NIPS 2023

IBA: Towards Irreversible Backdoor Attacks in Federated Learning NIPS 2023

FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout NIPS 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NIPS 2023

H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NIPS 2023

Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy NIPS 2023

Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NIPS 2023

Delving into the Adversarial Robustness of Federated Learning AAAI 2023

Attacks against Federated Learning Defense Systems and their Mitigation JMLR 2023

Dual Personalization on Federated Recommendation IJCAI 2023

The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023

Practical Takes on Federated Learning with Pretrained Language Models EACL 2023

Jus Mundi at SemEval-2023 Task 6: Using a Frustratingly Easy Domain Adaption for a Legal Named Entity Recognition System ACL 2023

Privacy-preserving patient clustering for personalized federated learnings MLHC 2023