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Title: Convergent Differential Privacy Analysis for General Federated Learning:
the f-DP Perspective
Authors: Y Sun, L Shen, D Tao
https://researchtrend.ai/communities/FedML

[2025-02-27] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2502.18706" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Differentially Private Federated Learning With Time-Adaptive Privacy Spending
(2) Differentially Private Federated Learning With Time-Adaptive Privacy Spending

🔍 More at researchtrend.ai/communities/FedML

[2025-09-17] 📚 Updates in #FedML

(1) Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew
(2) Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems

🔍 More at researchtrend.ai/communities/FedML

[2025-01-16] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2302.04851" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates
(2) Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates

🔍 More at researchtrend.ai/communities/FedML

[2025-02-07 00:00:00+00:00] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2405.10618" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Distributed Event-Based Learning via ADMM
(2) Distributed Event-Based Learning via ADMM
(3) <a href="https://researchtrend.ai/papers/2410.18117" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Efficient Adaptive Federated Optimization
(4) Efficient Adaptive Federated Optimization

🔍 More at researchtrend.ai/communities/FedML

[2025-08-29] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2402.08769" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">FLASH: Federated Learning Across Simultaneous Heterogeneities
(2) FLASH: Federated Learning Across Simultaneous Heterogeneities
(3) Federated Distributed Key Generation

🔍 More at researchtrend.ai/communities/FedML

[2025-09-11] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2403.09904" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
(2) FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models

🔍 More at researchtrend.ai/communities/FedML

[2025-02-25] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2402.09959" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">A Federated Framework for LLM-based Recommendation
(2) A Federated Framework for LLM-based Recommendation
(3) FedNoisy: Federated Noisy Label Learning Benchmark

🔍 More at researchtrend.ai/communities/FedML

[2025-08-05] 📚 Updates in #FedML

(1) FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation

🔍 More at researchtrend.ai/communities/FedML

[2025-08-06] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2310.14337" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">PPFL: A Personalized Federated Learning Framework for Heterogeneous Population
(2) PPFL: A Personalized Federated Learning Framework for Heterogeneous Population

🔍 More at researchtrend.ai/communities/FedML

[2025-08-08] 📚 Updates in #FedML

(1) HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation

🔍 More at researchtrend.ai/communities/FedML

[2025-03-14] 📚 Updates in #FedML

(1) Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory Generation
(2) Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics

🔍 More at researchtrend.ai/communities/FedML

[2025-07-15] 📚 Updates in #FedML

(1) AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator
(2) Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks

🔍 More at researchtrend.ai/communities/FedML

[2025-06-24] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2506.17292" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models
(2) Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models

🔍 More at researchtrend.ai/communities/FedML

[2025-09-03] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2509.00540" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning
(2) FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning

🔍 More at researchtrend.ai/communities/FedML

[2025-09-10] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2308.11333" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning
(2) FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning

🔍 More at researchtrend.ai/communities/FedML

[2025-01-14] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2312.04356" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping
(2) NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping

🔍 More at researchtrend.ai/communities/FedML

[2025-04-25] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2504.17274" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
(2) Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy

🔍 More at researchtrend.ai/communities/FedML

[2025-06-25] 📚 Updates in #FedML

(1) FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
(2) GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model

🔍 More at researchtrend.ai/communities/FedML

[2025-07-01] 📚 Updates in #FedML

(1) FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

🔍 More at researchtrend.ai/communities/FedML

[2025-07-21] 📚 Updates in #FedML

(1) FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
(2) FuSeFL: Fully Secure and Scalable Cross-Silo Federated Learning

🔍 More at researchtrend.ai/communities/FedML

[2025-07-09] 📚 Updates in #FedML

(1) Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach

🔍 More at researchtrend.ai/communities/FedML

[2025-09-01] 📚 Updates in #FedML

(1) <a href="https://researchtrend.ai/papers/2402.00342" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">Survey of Privacy Threats and Countermeasures in Federated Learning
(2) Survey of Privacy Threats and Countermeasures in Federated Learning

🔍 More at researchtrend.ai/communities/FedML

[2024-11-24] 📚 Updates in #FedML
🔍 More at researchtrend.ai/communities/FedML

(1) On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations