Co-occurring keywords · papers mentioning both
Papers
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
ICML 2024
Recovery Guarantees for Distributed-OMP
AISTATS 2024
Reweighted Solutions for Weighted Low Rank Approximation
ICML 2024
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
JMLR 2024
Separations in the Representational Capabilities of Transformers and Recurrent Architectures
NeurIPS 2024
Sketching for Distributed Deep Learning: A Sharper Analysis
NeurIPS 2024
Stabilized Proximal-Point Methods for Federated Optimization
NeurIPS 2024
The Sample-Communication Complexity Trade-off in Federated Q-Learning
NeurIPS 2024
Universal Exact Compression of Differentially Private Mechanisms
NeurIPS 2024
ℓ_p-Regression in the Arbitrary Partition Model of Communication
COLT 2023
2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression
NeurIPS 2023
Collaborative Pure Exploration in Kernel Bandit
ICLR 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
ICML 2023
Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity
AISTATS 2023
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression
ICML 2023
Faster federated optimization under second-order similarity
ICLR 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
Multi-Consensus Decentralized Accelerated Gradient Descent
JMLR 2023
On-Demand Communication for Asynchronous Multi-Agent Bandits
AISTATS 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
ICML 2023
Representational Strengths and Limitations of Transformers
NeurIPS 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
NeurIPS 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
NeurIPS 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
NeurIPS 2023