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On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach

Jiahui Bai et al. · 2026

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

Jiefei Liu et al. · 2026

Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness

Thomas Boudou et al. · 2026

TallyTrain: Communication-Efficient Federated Distillation

Radhakrishna Achanta et al. · 2026

Federated Sovereign Transport Protocol (FSTP): Verifiable Coordination Without Disclosure

Ramón Soto C. (Department of Accounting et al. · 2026

Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning

Krishna Harsha Kovelakuntla Huthasana et al. · 2026

Know Thy Neighbor: Cross-TEE Mutual Attestation

Daniel Andrade et al. · 2026

Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification

Aizierjiang Aiersilan · 2026

models

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Machine Learning

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Federated Adversarial Domain Adaptation

Xingchao Peng et al. · 2019

A Survey on Decentralized Federated Learning

Edoardo Gabrielli et al. · 2023

Federated Domain Generalization: A Survey

Ying Li et al. · 2023

When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions

Weiming Zhuang et al. · 2023

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data

Zilong Zhao et al. · 2021

Knowledge Distillation for Federated Learning: a Practical Guide

Alessio Mora et al. · 2022

language

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Retrieval-Augmented Framework for LLM-Based Clinical Decision Support

Leon Garza et al. · 2025

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