Cover Image

ProFL: Performative Robust Optimal Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Xue, Xie, Tian, Tan, Xuwei, Yener, Aylin, Zhang, Xueru
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Personalized Over-the-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces
by: Mao, Jiayu, et al.
Published: (2024)

Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework
by: Mao, Jiayu, et al.
Published: (2024)

A Rate-Distortion Framework for Summarization
by: Arda, Enes, et al.
Published: (2025)

Adaptive Personalized Over-the-Air Federated Learning with Reflecting Intelligent Surfaces
by: Mao, Jiayu, et al.
Published: (2024)

Joint Sensing and Semantic Communications with Multi-Task Deep Learning
by: Sagduyu, Yalin E., et al.
Published: (2023)

Privacy-Preserving Semantic Communications via Multi-Task Learning and Adversarial Perturbations
by: Sagduyu, Yalin E., et al.
Published: (2025)

BICompFL: Stochastic Federated Learning with Bi-Directional Compression
by: Egger, Maximilian, et al.
Published: (2025)

ScionFL: Efficient and Robust Secure Quantized Aggregation
by: Ben-Itzhak, Yaniv, et al.
Published: (2022)

NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection
by: Wen, Haifeng, et al.
Published: (2024)

CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness
by: Salehi, Hojat Allah, et al.
Published: (2024)

Classification-Oriented Semantic Wireless Communications
by: Kutay, Emrecan, et al.
Published: (2024)

Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing
by: Sagduyu, Yalin E., et al.
Published: (2024)

Low-Latency Task-Oriented Communications with Multi-Round, Multi-Task Deep Learning
by: Sagduyu, Yalin E., et al.
Published: (2024)

WW-FL: Secure and Private Large-Scale Federated Learning
by: Marx, Felix, et al.
Published: (2023)

The Gaussian Multiple Access Wiretap Channel with Selfish Transmitters: A Coalitional Game Theory Perspective
by: Chou, Remi A., et al.
Published: (2024)

Federated Learning with Reduced Information Leakage and Computation
by: Yin, Tongxin, et al.
Published: (2023)

Low-latency Secure Integrated Sensing and Communication with Transmitter Actions
by: Welling, Truman, et al.
Published: (2024)

Algorithmic Decision-Making under Agents with Persistent Improvement
by: Xie, Tian, et al.
Published: (2024)

Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
by: Li, Jingyang, et al.
Published: (2024)

DroughtSet: Understanding Drought Through Spatial-Temporal Learning
by: Tan, Xuwei, et al.
Published: (2024)

FedCova: Robust Federated Covariance Learning Against Noisy Labels
by: Zhong, Xiangyu, et al.
Published: (2026)

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
by: Tan, Xuwei, et al.
Published: (2025)

Optimal Clustering with Bandit Feedback
by: Yang, Junwen, et al.
Published: (2022)

Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
by: Wen, Dingzhu, et al.
Published: (2025)

Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks
by: Xie, Haihui, et al.
Published: (2026)

Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model
by: Managoli, Malhar A., et al.
Published: (2025)

Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning
by: Aolaritei, Liviu, et al.
Published: (2022)

Load Balancing in Federated Learning
by: Javani, Alireza, et al.
Published: (2024)

Decoupled Subgraph Federated Learning
by: Aliakbari, Javad, et al.
Published: (2024)

Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
by: Tan, Xuwei, et al.
Published: (2026)

One-Shot Secret Sharing with Monotone Access Structures over Classical-Quantum Broadcast Channels
by: Welling, Truman, et al.
Published: (2026)

Matching Rates and Optimal Allocation for Federated Probe-Logit Distillation under Heterogeneous Bandwidth Budgets
by: Dubey, Prasanjit, et al.
Published: (2026)

Asymptotically and Minimax Optimal Regret Bounds for Multi-Armed Bandits with Abstention
by: Yang, Junwen, et al.
Published: (2024)

Joint Model Pruning and Resource Allocation for Wireless Time-triggered Federated Learning
by: Zhang, Xinlu, et al.
Published: (2024)

Semantic Forwarding for Next Generation Relay Networks
by: Arda, Enes, et al.
Published: (2024)

Transmitter Actions for Secure Integrated Sensing and Communication
by: Welling, Truman, et al.
Published: (2024)

Lookahead Counterfactual Fairness
by: Zuo, Zhiqun, et al.
Published: (2024)

Federated Dropout: Convergence Analysis and Resource Allocation
by: Xie, Sijing, et al.
Published: (2024)

Optimal Best Arm Identification with Fixed Confidence in Restless Bandits
by: Karthik, P. N., et al.
Published: (2023)

Kalman Filter Aided Federated Koopman Learning
by: Chen, Yutao, et al.
Published: (2025)