2 citations · 2 across the 6 of their papers we have counts for
8 papers
Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates
Anik Kumar Paul, Nibedita Roy, Nagesh Talagani +3
We propose FAR-SIGN (Fully Asynchronous Robust optimization via SIGNed directional projections) for adversary-resilient learning in parameter-server--worker systems. FAR-SIGN achie…
Game-Theoretic Analysis of Transaction Selection in DAG-Based Distributed Ledgers
Sebastian Müller, Alexandre Reiffers-Masson
Transaction selection in parallel or DAG-based distributed ledger technologies (DLTs) is a crucial challenge that directly impacts throughput, fairness, and validator incentives. I…
Robustness to Sparse Adversarial Corruption in Arbitrary Linear Measurements: Beyond Exact Recovery
Vishal Halder, Alexandre Reiffers-Masson, Abdeldjalil Aïssa-El-Bey +1
Recovery from linear measurements under sparse adversarial corruption is typically formulated as an exact-recovery problem: one seeks structural conditions on (e.g., r…
Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling
S. R. Eshwar, Lucas Lopes Felipe, Alexandre Reiffers-Masson +2
Load balancing and auto scaling are at the core of scalable, contemporary systems, addressing dynamic resource allocation and service rate adjustments in response to workload chang…
Certainty Equivalence Control-Based Heuristics in Multi-Stage Convex Stochastic Optimization Problems
Chen Yan, Alexandre Reiffers-Masson
We examine a multi-stage stochastic optimization problem characterized by stagewise-independent, decision-dependent noises with strict constraints. The problem assumes convexity in…
Online Multi-Agent Decentralized Byzantine-robust Gradient Estimation
Alexandre Reiffers-Masson, Isabel Amigo
In this paper, we propose an iterative scheme for distributed Byzantineresilient estimation of a gradient associated with a black-box model. Our algorithm is based on simultaneous…