conftrace_

communication efficiency

297 papers

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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

Quantized Decentralized Stochastic Learning over Directed Graphs ICML 2020
FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NIPS 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020
FedSplit: an algorithmic framework for fast federated optimization NIPS 2020
Distributed Newton Can Communicate Less and Resist Byzantine Workers NIPS 2020
Adaptive Gradient Quantization for Data-Parallel SGD NIPS 2020
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead ICML 2020
DINO: Distributed Newton-Type Optimization Method ICML 2020
Federated Accelerated Stochastic Gradient Descent NIPS 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization AISTATS 2020
CSER: Communication-efficient SGD with Error Reset NIPS 2020
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control NIPS 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NIPS 2019
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NIPS 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NIPS 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression ICML 2019
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization ICML 2019
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NIPS 2019
Communication trade-offs for Local-SGD with large step size NIPS 2019
Order Optimal One-Shot Distributed Learning NIPS 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization NIPS 2019
Communication-Optimal Distributed Dynamic Graph Clustering AAAI 2019
Communication-efficient Distributed SGD with Sketching NIPS 2019