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Dong-Jun Han

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 9:46 PM AMS

9

papers

84

total citations

papers (9)

Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks

NEURIPS 2020arXiv

StableFDG: Style and Attention Based Learning for Federated Domain Generalization

NEURIPS 2023arXiv

NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks

NEURIPS 2023arXiv

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees

Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration

Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks

Sageflow: Robust Federated Learning against Both Stragglers and Adversaries

Few-Round Learning for Federated Learning

Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning