Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees Oct 7, 2021 Distributed Computing Federated Learning
— Unverified 00 Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation Jun 7, 2022 Federated Learning Vocal Bursts Type Prediction
— Unverified 00 Distributed Online Learning with Multiple Kernels Feb 25, 2021 Federated Learning Time Series
— Unverified 00 Distributed Online Optimization with Stochastic Agent Availability Nov 25, 2024 Federated Learning
— Unverified 00 Distributed Optimization for Quadratic Cost Functions over Large-Scale Networks with Quantized Communication and Finite-Time Convergence Apr 2, 2023 Distributed Optimization Federated Learning
— Unverified 00 Distributed Optimization over Block-Cyclic Data Feb 18, 2020 Distributed Optimization Federated Learning
— Unverified 00 Distributed Quasi-Newton Method for Fair and Fast Federated Learning Jan 18, 2025 Fairness Federated Learning
— Unverified 00 Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching Oct 20, 2021 Edge-computing Federated Learning
— Unverified 00 Distributed sequential federated learning Jan 31, 2023 Distributed Computing Federated Learning
— Unverified 00 Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy Sep 29, 2021 Federated Learning Math
— Unverified 00 Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents Dec 5, 2022 Federated Learning
— Unverified 00 Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach Feb 1, 2023 Federated Learning Self-Supervised Learning
— Unverified 00 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms Jun 4, 2019 Federated Learning
— Unverified 00 Distributed Trust Through the Lens of Software Architecture May 25, 2023 Attribute Federated Learning
— Unverified 00 Distributed U-net model and Image Segmentation for Lung Cancer Detection Feb 20, 2025 CPU Federated Learning
— Unverified 00 Decentralized Unsupervised Learning of Visual Representations Nov 21, 2021 Contrastive Learning Federated Learning
— Unverified 00 Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare Oct 9, 2024 Federated Learning
— Unverified 00 Distributionally Robust Federated Averaging Feb 25, 2021 Federated Learning
— Unverified 00 Distributionally Robust Federated Learning with Client Drift Minimization May 21, 2025 Fairness Federated Learning
— Unverified 00 Distributionally Robust Federated Learning: An ADMM Algorithm Mar 24, 2025 Federated Learning
— Unverified 00 Distribution-Aware Mobility-Assisted Decentralized Federated Learning May 24, 2025 Federated Learning Navigate
— Unverified 00 Distribution-Free Fair Federated Learning with Small Samples Feb 25, 2024 Fairness Federated Learning
— Unverified 00 Distribution-Free Federated Learning with Conformal Predictions Oct 14, 2021 Decision Making Federated Learning
— Unverified 00 Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Jun 6, 2025 Bayesian Inference Federated Learning
— Unverified 00 Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions Sep 29, 2021 Federated Learning image-classification
— Unverified 00 Diverse Client Selection for Federated Learning via Submodular Maximization Sep 29, 2021 Fairness Federated Learning
— Unverified 00 Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models Apr 15, 2025 Attribute Diversity
— Unverified 00 Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems May 11, 2023 Federated Learning Neural Architecture Search
— Unverified 00 DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing Oct 21, 2024 Federated Learning
— Unverified 00 DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences Feb 7, 2025 Federated Learning model
— Unverified 00 Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD Sep 26, 2024 Federated Learning
— Unverified 00 Do Gradient Inversion Attacks Make Federated Learning Unsafe? Feb 14, 2022 Federated Learning Privacy Preserving
— Unverified 00 Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning Oct 4, 2022 Federated Learning Knowledge Distillation
— Unverified 00 Domain Generalization for Cross-Receiver Radio Frequency Fingerprint Identification Nov 6, 2024 Domain Generalization Federated Learning
— Unverified 00 Don't encrypt the data; just approximate the model \ Towards Secure Transaction and Fair Pricing of Training Data Jan 1, 2018 Federated Learning Model Compression
— Unverified 00 Don't Forget What I did?: Assessing Client Contributions in Federated Learning Mar 11, 2024 Data Poisoning Fairness
— Unverified 00 Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory Jul 2, 2023 class-incremental learning Class Incremental Learning
— Unverified 00 Double Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy Feb 17, 2025 Federated Learning
— Unverified 00 Coordinating Momenta for Cross-silo Federated Learning Feb 8, 2021 Federated Learning
— Unverified 00 Do We Really Need to Design New Byzantine-robust Aggregation Rules? Jan 29, 2025 Federated Learning
— Unverified 00 Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem Mar 6, 2024 Federated Learning
— Unverified 00 DP^2-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization Sep 20, 2024 Federated Learning Personalized Federated Learning
— Unverified 00 DP2FL: Dual Prompt Personalized Federated Learning in Foundation Models Apr 23, 2025 Federated Learning Personalized Federated Learning
— Unverified 00 DP^2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring Jun 30, 2022 Federated Learning Non-Intrusive Load Monitoring
— Unverified 00 DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service Feb 15, 2024 Fairness Federated Learning
— Unverified 00 DPCOVID: Privacy-Preserving Federated Covid-19 Detection Oct 26, 2021 Federated Learning Privacy Preserving
— Unverified 00 DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation May 10, 2024 Federated Learning Natural Language Understanding
— Unverified 00 On the Convergence of Differentially Private Federated Learning on Non-Lipschitz Objectives, and with Normalized Client Updates Jun 13, 2021 Benchmarking Federated Learning
— Unverified 00 DPP-based Client Selection for Federated Learning with Non-IID Data Mar 30, 2023 Federated Learning
— Unverified 00 DP-REC: Private & Communication-Efficient Federated Learning Nov 9, 2021 Federated Learning
— Unverified 00