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Federated Learning

1,360 papers

Papers per year

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Papers

Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation IJCAI 2023
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023
Federated Graph Semantic and Structural Learning IJCAI 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment IJCAI 2023
FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning IJCAI 2023
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity IJCAI 2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning IJCAI 2023
Dual Personalization on Federated Recommendation IJCAI 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning IJCAI 2023
Reducing Communication for Split Learning by Randomized Top-k Sparsification IJCAI 2023
A Survey of Federated Evaluation in Federated Learning IJCAI 2023
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract) IJCAI 2023
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion IJCAI 2023
Bayesian Federated Learning: A Survey IJCAI 2023
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages INTERSPEECH 2023
Federated Learning Toolkit with Voice-based User Verification Demo INTERSPEECH 2023
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023
A First Look into the Carbon Footprint of Federated Learning JMLR 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023