
Byzantine FaultTolerance in Federated Local SGD under 2fRedundancy
We consider the problem of Byzantine faulttolerance in federated machin...
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FiniteTime Convergence Rates of Nonlinear TwoTimeScale Stochastic Approximation under Markovian Noise
We study the socalled twotimescale stochastic approximation, a simula...
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Finite Sample Analysis of TwoTimeScale Natural ActorCritic Algorithm
Actorcritic style twotimescale algorithms are very popular in reinfor...
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Nonlinear TwoTimeScale Stochastic Approximation: Convergence and FiniteTime Performance
Twotimescale stochastic approximation, a generalized version of the po...
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FiniteTime Analysis of Decentralized Stochastic Approximation with Applications in MultiAgent and MultiTask Learning
Stochastic approximation, a datadriven approach for finding the fixed p...
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Byzantine FaultTolerance in Decentralized Optimization under Minimal Redundancy
This paper considers the problem of Byzantine faulttolerance in multia...
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Local Stochastic Approximation: A Unified View of Federated Learning and Distributed MultiTask Reinforcement Learning Algorithms
Motivated by broad applications in reinforcement learning and federated ...
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FiniteTime Analysis of Stochastic Gradient Descent under Markov Randomness
Motivated by broad applications in reinforcement learning and machine le...
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FiniteTime Analysis and Restarting Scheme for Linear TwoTimeScale Stochastic Approximation
Motivated by their broad applications in reinforcement learning, we stud...
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FiniteTime Performance of Distributed Temporal Difference Learning with Linear Function Approximation
We study the policy evaluation problem in multiagent reinforcement lear...
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FiniteTime Analysis of QLearning with Linear Function Approximation
In this paper, we consider the modelfree reinforcement learning problem...
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Thinh T. Doan
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