Co-occurring keywords · papers mentioning both
Papers
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
NeurIPS 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead
NeurIPS 2024
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
AAAI 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
COLT 2024
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
ICML 2023
Anchor Sampling for Federated Learning with Partial Client Participation
ICML 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning
NeurIPS 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
NeurIPS 2023
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
ICML 2023
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training
NeurIPS 2023
Can 5th Generation Local Training Methods Support Client Sampling? Yes!
AISTATS 2023
Communication-Efficient Collaborative Best Arm Identification
AAAI 2023
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems
NeurIPS 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
ICML 2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter
ACL 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
ICCV 2023
Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms
IJCAI 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
ICCV 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
AAAI 2023
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
NeurIPS 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection
NeurIPS 2023
Decentralized Learning With Multi-Headed Distillation
CVPR 2023
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
ICLR 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning
ICML 2023
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
ICML 2023