Co-occurring keywords · papers mentioning both
Papers
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets
NeurIPS 2023
IBA: Towards Irreversible Backdoor Attacks in Federated Learning
NeurIPS 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA
AISTATS 2023
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
ICML 2023
Large-Scale Distributed Learning via Private On-Device LSH
NeurIPS 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
CVPR 2023
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
ICLR 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
ICCV 2023
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
NeurIPS 2023
Momentum Provably Improves Error Feedback!
NeurIPS 2023
Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance
AAAI 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits
NeurIPS 2023
Network Effects in Performative Prediction Games
ICML 2023
On Biased Compression for Distributed Learning
JMLR 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network
AISTATS 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
ICML 2023
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods
AutoML 2023
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning
IJCAI 2023
Petals: Collaborative Inference and Fine-tuning of Large Models
ACL 2023
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
AAAI 2023
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance
NeurIPS 2023
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
JMLR 2023
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
NeurIPS 2023
Re-Thinking Federated Active Learning Based on Inter-Class Diversity
CVPR 2023
Robust Collaborative Learning with Linear Gradient Overhead
ICML 2023