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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

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
Compression with Exact Error Distribution for Federated Learning AISTATS 2024
Adaptive Compression in Federated Learning via Side Information AISTATS 2024
Federated Learning over Connected Modes NIPS 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024
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