Workshop

Near-optimal decentralized algorithms for network dynamic optimization
Judy Gan · Yashodhan Kanoria · Xuan Zhang

Workshop

Decentralized Learning with Random Walks and Communication-Efficient Adaptive Optimization
Aleksei Triastcyn · Matthias Reisser · Christos Louizos

Workshop

Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang · Kun Yuan

Poster

Thu 9:00

Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
Kun Yuan · Xinmeng Huang · Yiming Chen · Xiaohan Zhang · Yingya Zhang · Pan Pan

Workshop

Asynchronous speedup in decentralized optimization
Mathieu Even · Hadrien Hendrikx · Laurent Massoulié

Workshop

Decentralized Stochastic Optimization with Client Sampling
Ziwei Liu · Anastasiia Koloskova · Martin Jaggi · Tao Lin

Poster

Tue 14:00

BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao · Boyue Li · Zhize Li · Peter Richtarik · Yuejie Chi

Poster

Tue 14:00

Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
Shuoguang Yang · Xuezhou Zhang · Mengdi Wang

Poster

Tue 14:00

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
Yaodong Yu · Alexander Wei · Sai Praneeth Karimireddy · Yi Ma · Michael Jordan

Poster

Wed 9:00

Beyond spectral gap: the role of the topology in decentralized learning
Thijs Vogels · Hadrien Hendrikx · Martin Jaggi

Poster

Tue 9:00

Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Edwige Cyffers · Mathieu Even · Aurélien Bellet · Laurent Massoulié

Poster

Tue 14:00

Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Dmitry Kovalev · Aleksandr Beznosikov · Abdurakhmon Sadiev · Michael Persiianov · Peter Richtarik · Alexander Gasnikov