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

Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023

Global Balanced Experts for Federated Long-Tailed Learning ICCV 2023

Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023

Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023

Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels ICCV 2023

Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023

Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023

Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023

Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023

Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL 2023

Federated Domain Generalization With Generalization Adjustment CVPR 2023

Efficient On-Device Training via Gradient Filtering CVPR 2023

Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds NIPS 2023

RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks NIPS 2023

Eliminating Domain Bias for Federated Learning in Representation Space NIPS 2023

Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition NIPS 2023

Federated Spectral Clustering via Secure Similarity Reconstruction NIPS 2023

Guiding The Last Layer in Federated Learning with Pre-Trained Models NIPS 2023

Large-Scale Distributed Learning via Private On-Device LSH NIPS 2023

Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NIPS 2023

Robust and Actively Secure Serverless Collaborative Learning NIPS 2023

Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization NIPS 2023

Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NIPS 2023