17 Results

Workshop		Near-optimal decentralized algorithms for network dynamic optimization Judy Gan · Yashodhan Kanoria · Xuan Zhang
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
Workshop		Asynchronous speedup in decentralized optimization Mathieu Even · Hadrien Hendrikx · Laurent Massoulié
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		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
Workshop		A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective xinwei zhang · Nicola Elia · Mingyi Hong