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distributed learning

563 papers

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Also known as

DL-DCL DML

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) communication efficiency (297) distributed optimization (275) stochastic optimization (1060) decentralized optimization (113) communication complexity (99) distributed training (187) gradient compression (78) gradient descent (1143)

Papers

Distributed Learning with Strategic Users: A Repeated Game Approach AAAI 2022
Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems AAAI 2022
Distributed Randomized Sketching Kernel Learning AAAI 2022
SplitFed: When Federated Learning Meets Split Learning AAAI 2022
Asynchronous Decentralized SGD with Quantized and Local Updates NIPS 2021
On Large-Cohort Training for Federated Learning NIPS 2021
Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates AISTATS 2021
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction ICML 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition CVPR 2021
Optimal Complexity in Decentralized Training ICML 2021
Model-Contrastive Federated Learning CVPR 2021
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period AAAI 2021
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message ICML 2021
Distributed Ranking with Communications: Approximation Analysis and Applications AAAI 2021
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021
Distributed Nyström Kernel Learning with Communications ICML 2021
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law AAAI 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
Learning from History for Byzantine Robust Optimization ICML 2021