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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ 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
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ 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
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 327 - 329
Adaptive Random Walk Gradient Descent for Decentralized Optimization
In Optimization/Theory
Tao Sun · Dongsheng Li · Bao Wang
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ 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
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 327 - 329
Secure Distributed Training at Scale
In Optimization/Theory
Eduard Gorbunov · Alexander Borzunov · Michael Diskin · Max Ryabinin
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 327 - 329
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
In Optimization/Theory
Karl Bäckström · Marina Papatriantafilou · Philippas Tsigas
Oral
Thu Jul 21 01:00 PM -- 01:20 PM (PDT) @ Room 327 - 329
Anarchic Federated Learning
In Optimization/Theory
Haibo Yang · Xin Zhang · Prashant Khanduri · Jia Liu
Spotlight
Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ 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
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ 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
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 327 - 329
Sketching Algorithms and Lower Bounds for Ridge Regression
In Optimization/Theory
Praneeth Kacham · David Woodruff
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ 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
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 327 - 329
Utility Theory for Sequential Decision Making
In Optimization/Theory
Mehran Shakerinava · Siamak Ravanbakhsh
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 327 - 329
Online Learning with Knapsacks: the Best of Both Worlds
In Optimization/Theory
Matteo Castiglioni · Andrea Celli · Christian Kroer
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 327 - 329
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
In Optimization/Theory
Jinghui Xia · Zengfeng Huang