Sadegh Farhadkhani
10 papers · 2021–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 💎 Century Club · Bronze
🗃️
Keyword Collector
(51)
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(9)
Artificial Intelligence
(3)
Learning Types
(3)
Learning Paradigms · Machine Learning
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Optimization
(1)
Keywords
distributed learning
(5)
byzantine resilience
(2)
decentralized learning
(2)
data poisoning
(2)
robust optimization
(2)
byzantine fault tolerance
(2)
stochastic gradient descent
(2)
maximum a posteriori
(1)
distributed optimization
(1)
probabilistic modeling
(1)
model aggregation
(1)
gradient descent
(1)
decentralized optimization
(1)
exponential family
(1)
non-convex optimization
(1)
local updates
(1)
fault tolerance
(1)
machine learning
(1)
model averaging
(1)
convergence
(1)
Papers
On the Relevance of Byzantine Robust Optimization Against Data Poisoning
JMLR 2026
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
ICML 2024
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
AAAI 2024
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
NeurIPS 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
AISTATS 2023
On the Strategyproofness of the Geometric Median
AISTATS 2023
Robust Collaborative Learning with Linear Gradient Overhead
ICML 2023
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
ICML 2022
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
ICML 2022
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
NeurIPS 2021