← Learning Types
Deep Learning › Learning Types ›

Federated Learning

164 directly classified papers

Papers per year

Papers

CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023
Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023
How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023
Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data NIPS 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NIPS 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NIPS 2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NIPS 2023
FLAIR: Federated Learning Annotated Image Repository NIPS 2022
Federated Learning for Face Recognition with Gradient Correction AAAI 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022
Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract) AAAI 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale ICML 2022
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022
Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022
Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022
RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images AAAI 2022
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition AAAI 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022