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Federated Learning

164 directly classified papers

Papers per year

Papers

Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022
Scaling Language Model Size in Cross-Device Federated Learning ACL 2022
FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022
AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022
Resource-Adaptive Federated Learning with All-In-One Neural Composition NIPS 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression NIPS 2022
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning NIPS 2022
LAMP: Extracting Text from Gradients with Language Model Priors NIPS 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NIPS 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NIPS 2022
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training NIPS 2022
A Unified Analysis of Federated Learning with Arbitrary Client Participation NIPS 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NIPS 2022
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox NIPS 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NIPS 2022
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NIPS 2022
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NIPS 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NIPS 2021
Differentially Private Learning with Adaptive Clipping NIPS 2021
On Large-Cohort Training for Federated Learning NIPS 2021
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NIPS 2021
Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021