conftrace_

communication efficiency

297 papers

Explore in graph

Co-occurring keywords

federated learning (1333) distributed learning (563) distributed optimization (275) stochastic gradient descent (1091) model compression (3302) gradient compression (78) distributed training (188) stochastic optimization (1060) differential privacy (1016) decentralized learning (103)

Papers

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples ICCV 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023
On Generalization of Decentralized Learning with Separable Data AISTATS 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter ACL 2023
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NIPS 2023
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NIPS 2023
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NIPS 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient ICML 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NIPS 2023
Private Federated Learning with Autotuned Compression ICML 2023
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout AAAI 2023
Proximal and Federated Random Reshuffling ICML 2022
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers ICML 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NIPS 2022
Communication Efficient Federated Learning for Generalized Linear Bandits NIPS 2022
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning ICML 2022
Neural Tangent Kernel Empowered Federated Learning ICML 2022
Faster non-convex federated learning via global and local momentum UAI 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NIPS 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NIPS 2022