Haris Vikalo
10 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(9)
Deep Learning
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(4)
Artificial Intelligence
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Optimization & Theory Β· Deep Learning
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Healthcare & Medicine
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Keywords
federated learning
(6)
non-iid data
(2)
haplotype assembly
(2)
model compression
(2)
communication efficiency
(2)
data heterogeneity
(2)
personalized model
(2)
viral quasispecies
(2)
self-supervised learning
(1)
quadratic models
(1)
sequential decision making
(1)
bandit feedback
(1)
local updates
(1)
non-iid learning
(1)
model aggregation
(1)
variational inference
(1)
greedy algorithm
(1)
no-regret learning
(1)
convergence rate
(1)
convergence analysis
(1)
Papers
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity
AAAI 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
NeurIPS 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices
CVPR 2024
Recovering Labels from Local Updates in Federated Learning
ICML 2024
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
ICLR 2023
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
AAAI 2022
No-regret learning with high-probability in adversarial Markov decision processes
UAI 2021
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
NeurIPS 2020
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
AAAI 2020
Submodular Observation Selection and Information Gathering for Quadratic Models
ICML 2019