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Poster
Tue 14:00 Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
Shuoguang Yang · Xuezhou Zhang · Mengdi Wang
Workshop
Near-optimal decentralized algorithms for network dynamic optimization
Judy Gan · Yashodhan Kanoria · Xuan Zhang
Poster
Thu 14:00 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
Songtao Lu · Siliang Zeng · Xiaodong Cui · Mark Squillante · Lior Horesh · Brian Kingsbury · Jia Liu · Mingyi Hong
Workshop
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang · Kun Yuan
Workshop
Decentralized Learning with Random Walks and Communication-Efficient Adaptive Optimization
Aleksei Triastcyn · Matthias Reisser · Christos Louizos
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 Enhanced Bilevel Optimization via Bregman Distance
Feihu Huang · Junyi Li · Shangqian Gao · Heng Huang
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
Wed 9:00 Beyond spectral gap: the role of the topology in decentralized learning
Thijs Vogels · Hadrien Hendrikx · Martin Jaggi
Poster
Tue 14:00 TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
Yaodong Yu · Alexander Wei · Sai Praneeth Karimireddy · Yi Ma · Michael Jordan