Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms

24 June 2020

Papers citing "Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms"

24 / 24 papers shown

Title
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning Sihan Zeng Aqeel Anwar Thinh T. Doan A. Raychowdhury Justin Romberg 76 40 0 08 Jun 2020
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 173 149 0 04 May 2020
Is Local SGD Better than Minibatch SGD? Blake E. Woodworth Kumar Kshitij Patel Sebastian U. Stich Zhen Dai Brian Bullins H. B. McMahan Ohad Shamir Nathan Srebro FedML 76 254 0 18 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 184 1,228 0 19 Jan 2020
Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation Thinh T. Doan 68 36 0 23 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 273 6,294 0 10 Dec 2019
A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms Dong-hwan Lee Niao He 76 28 0 04 Dec 2019
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi V. Cadambe FedML 72 201 0 30 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 67 347 0 14 Oct 2019
Tighter Theory for Local SGD on Identical and Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik 79 435 0 10 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 132 4,543 0 21 Aug 2019
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation Thinh T. Doan S. T. Maguluri Justin Romberg 57 42 0 25 Jul 2019
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory Bin Hu U. Syed 81 58 0 16 Jun 2019
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning R. Srikant Lei Ying 72 252 0 03 Feb 2019
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme Belhal Karimi B. Miasojedow Eric Moulines Hoi-To Wai 71 91 0 02 Feb 2019
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 132 319 0 12 Sep 2018
On Markov Chain Gradient Descent Tao Sun Yuejiao Sun W. Yin BDL 46 102 0 12 Sep 2018
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation Jalaj Bhandari Daniel Russo Raghav Singal 106 340 0 06 Jun 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 187 1,070 0 24 May 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 240 1,607 0 05 Feb 2018
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 252 3,225 0 15 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 207 8,881 0 04 Feb 2016
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 102 504 0 15 Jul 2015