conftrace_

federated learning

1320 papers

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Also known as

FL

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

TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation ICCV 2023

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning ICCV 2023

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023

PRANC: Pseudo RAndom Networks for Compacting Deep Models ICCV 2023

No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier ICCV 2023

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation ICCV 2023

Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration ICCV 2023

Tangent Model Composition for Ensembling and Continual Fine-tuning ICCV 2023

Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat ICCV 2023

Robust Heterogeneous Federated Learning under Data Corruption ICCV 2023

Almost Cost-Free Communication in Federated Best Arm Identification AAAI 2023

FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023

DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023

Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework AAAI 2023

FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023

Industry-Scale Orchestrated Federated Learning for Drug Discovery AAAI 2023

A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract) AAAI 2023

MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) AAAI 2023

Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023

Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout AAAI 2023

Multimodal Deep Generative Models for Remote Medical Applications AAAI 2023