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Workshop
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Near-optimal decentralized algorithms for network dynamic optimization
Judy Gan · Yashodhan Kanoria · Xuan Zhang
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Workshop
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Decentralized Learning with Random Walks and Communication-Efficient Adaptive Optimization
Aleksei Triastcyn · Matthias Reisser · Christos Louizos
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Workshop
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Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang · Kun Yuan
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Poster
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Thu 9:00
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Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
Kun Yuan · Xinmeng Huang · Yiming Chen · Xiaohan Zhang · Yingya Zhang · Pan Pan
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Workshop
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Asynchronous speedup in decentralized optimization
Mathieu Even · Hadrien Hendrikx · Laurent Massoulié
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Workshop
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Decentralized Stochastic Optimization with Client Sampling
Ziwei Liu · Anastasiia Koloskova · Martin Jaggi · Tao Lin
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Poster
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Tue 14:00
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BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao · Boyue Li · Zhize Li · Peter Richtarik · Yuejie Chi
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Poster
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Tue 14:00
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Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
Shuoguang Yang · Xuezhou Zhang · Mengdi Wang
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Poster
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Tue 14:00
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TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
Yaodong Yu · Alexander Wei · Sai Praneeth Karimireddy · Yi Ma · Michael Jordan
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Poster
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Wed 9:00
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Beyond spectral gap: the role of the topology in decentralized learning
Thijs Vogels · Hadrien Hendrikx · Martin Jaggi
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Poster
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Tue 9:00
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Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Edwige Cyffers · Mathieu Even · Aurélien Bellet · Laurent Massoulié
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Workshop
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A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
xinwei zhang · Nicola Elia · Mingyi Hong
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