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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

Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NIPS 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024
Adapted Weighted Aggregation in Federated Learning AAAI 2024
Frequency Oracle for Sensitive Data Monitoring (Student Abstract) AAAI 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
Towards the Robustness of Differentially Private Federated Learning AAAI 2024
Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NIPS 2024
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024
Budget Feasible Mechanisms: A Survey IJCAI 2024
Redefining Contributions: Shapley-Driven Federated Learning IJCAI 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NIPS 2024
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks IJCAI 2024
Practical Hybrid Gradient Compression for Federated Learning Systems IJCAI 2024
Revisiting Ensembling in One-Shot Federated Learning NIPS 2024
Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024
Importance Matching Lemma for Lossy Compression with Side Information AISTATS 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024
Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means IJCAI 2024