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20172020
most citedAsynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise

17 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG202017 cited

Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise

Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen +3

The feasibility of federated learning is highly constrained by the server-clients infrastructure in terms of network communication. Most newly launched smartphones and IoT devices…

cs.LG2019

DTN: A Learning Rate Scheme with Convergence Rate of for SGD

Lam M. Nguyen, Phuong Ha Nguyen, Dzung T. Phan +2

This paper has some inconsistent results, i.e., we made some failed claims because we did some mistakes for using the test criterion for a series. Precisely, our claims on the conv…

cs.CR20195 cited

Toward a Theory of Cyber Attacks

Saeed Valizadeh, Marten van Dijk

We provide a general methodology for analyzing defender-attacker based "games" in which we model such games as Markov models and introduce a capacity region to analyze how defensiv…

math.OC20197 cited

Finite-Sum Smooth Optimization with SARAH

Lam M. Nguyen, Marten van Dijk, Dzung T. Phan +3

The total complexity (measured as the total number of gradient computations) of a stochastic first-order optimization algorithm that finds a first-order stationary point of a finit…

cs.CR20175 cited

Revisiting Definitional Foundations of Oblivious RAM for Secure Processor Implementations

Syed Kamran Haider, Omer Khan, Marten van Dijk

Oblivious RAM (ORAM) is a renowned technique to hide the access patterns of an application to an untrusted memory. According to the standard ORAM definition presented by Goldreich…