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Spotlight
Fri Jul 22 04:30 AM -- 04:35 AM (KST) @ Room 327 - 329
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
In Optimization/Theory
Hui-Po Wang · Sebastian Stich · Yang He · Mario Fritz
Spotlight
Fri Jul 22 04:35 AM -- 04:40 AM (KST) @ Room 327 - 329
Federated Learning with Label Distribution Skew via Logits Calibration
In Optimization/Theory
Jie Zhang · Zhiqi Li · Bo Li · Jianghe Xu · Shuang Wu · Shouhong Ding · Chao Wu
Spotlight
Fri Jul 22 04:40 AM -- 04:45 AM (KST) @ Room 327 - 329
Adaptive Random Walk Gradient Descent for Decentralized Optimization
In Optimization/Theory
Tao Sun · Dongsheng Li · Bao Wang
Spotlight
Fri Jul 22 04:45 AM -- 04:50 AM (KST) @ Room 327 - 329
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
In Optimization/Theory
Shishir G. Patil · Paras Jain · Prabal Dutta · Ion Stoica · Joseph E Gonzalez
Spotlight
Fri Jul 22 04:50 AM -- 04:55 AM (KST) @ Room 327 - 329
Secure Distributed Training at Scale
In Optimization/Theory
Eduard Gorbunov · Alexander Borzunov · Michael Diskin · Max Ryabinin
Spotlight
Fri Jul 22 04:55 AM -- 05:00 AM (KST) @ Room 327 - 329
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
In Optimization/Theory
Karl Bäckström · Marina Papatriantafilou · Philippas Tsigas
Oral
Fri Jul 22 05:00 AM -- 05:20 AM (KST) @ Room 327 - 329
Anarchic Federated Learning
In Optimization/Theory
Haibo Yang · Xin Zhang · Prashant Khanduri · Jia Liu
Spotlight
Fri Jul 22 05:20 AM -- 05:25 AM (KST) @ Room 327 - 329
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
In Optimization/Theory
Zhenheng Tang · Yonggang Zhang · Shaohuai Shi · Xin He · Bo Han · Xiaowen Chu
Spotlight
Fri Jul 22 05:25 AM -- 05:30 AM (KST) @ Room 327 - 329
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
In Optimization/Theory
Xuezhou Zhang · Yuda Song · Masatoshi Uehara · Mengdi Wang · Alekh Agarwal · Wen Sun
Spotlight
Fri Jul 22 05:30 AM -- 05:35 AM (KST) @ Room 327 - 329
Sketching Algorithms and Lower Bounds for Ridge Regression
In Optimization/Theory
Praneeth Kacham · David Woodruff
Spotlight
Fri Jul 22 05:35 AM -- 05:40 AM (KST) @ Room 327 - 329
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
In Optimization/Theory
Weichao Mao · Lin Yang · Kaiqing Zhang · Tamer Basar
Spotlight
Fri Jul 22 05:40 AM -- 05:45 AM (KST) @ Room 327 - 329
Utility Theory for Sequential Decision Making
In Optimization/Theory
Mehran Shakerinava · Siamak Ravanbakhsh
Spotlight
Fri Jul 22 05:45 AM -- 05:50 AM (KST) @ Room 327 - 329
Online Learning with Knapsacks: the Best of Both Worlds
In Optimization/Theory
Matteo Castiglioni · Andrea Celli · Christian Kroer
Spotlight
Fri Jul 22 05:50 AM -- 05:55 AM (KST) @ Room 327 - 329
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
In Optimization/Theory
Jinghui Xia · Zengfeng Huang