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Federated Learning

1355 directly classified papers

Papers per year

Papers

Multitask Online Learning: Listen to the Neighborhood Buzz AISTATS 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning NIPS 2024
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024
Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024
BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NIPS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract) AAAI 2024
A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024
Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NIPS 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024
Compression with Exact Error Distribution for Federated Learning AISTATS 2024
Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction AAAI 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning NIPS 2024
Adaptive Compression in Federated Learning via Side Information AISTATS 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NIPS 2024
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning CVPR 2024
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024
Stakeholder-oriented Decision Support for Auction-based Federated Learning IJCAI 2024