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Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Distributed Optimization
8 directly classified papers
Papers per year
2015: 1
2017: 1
2021: 3
2022: 2
2025: 1
Papers
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning
AAAI 2025
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
NIPS 2022
Decentralized Training of Foundation Models in Heterogeneous Environments
NIPS 2022
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
NIPS 2021
Communication-Aware Collaborative Learning
AAAI 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
NIPS 2021
Collaborative Deep Learning in Fixed Topology Networks
NIPS 2017
Deep learning with Elastic Averaging SGD
NIPS 2015
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