Giovanni Neglia
13 papers · 2020–2026 · 5 venues · across top CS/AI venues
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federated learning
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online learning
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binary classification
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bayesian inference
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expectation maximization
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distributed learning
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decentralized optimization
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empirical risk minimization
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laplace approximation
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message passing
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strongly convex
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Papers
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
AAAI 2026
Attribute Inference Attacks for Federated Regression Tasks
AAAI 2025
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
UAI 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
ICML 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
AAAI 2025
When to Forget? Complexity Trade-offs in Machine Unlearning
ICML 2025
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
ICML 2024
Federated Learning for Data Streams
AISTATS 2023
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NeurIPS 2022
Personalized Federated Learning through Local Memorization
ICML 2022
Federated Multi-Task Learning under a Mixture of Distributions
NeurIPS 2021
Decentralized gradient methods: does topology matter?
AISTATS 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
NeurIPS 2020