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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints NIPS 2022
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis UAI 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NIPS 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NIPS 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NIPS 2022
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information L4DC 2022
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation CVPR 2022
Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022
Zeta: A Scalable and Robust East-West Communication Framework in Large-Scale Clouds NSDI 2022
A Resilient Distributed Boosting Algorithm ICML 2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning INTERSPEECH 2022
Topology-aware Generalization of Decentralized SGD ICML 2022
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 2022
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD ICML 2022
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale ICML 2022
Secure Distributed Training at Scale ICML 2022
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update OSDI 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems AAAI 2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NIPS 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022