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• FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
  2022 · 4 citations
• Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus
  2026
• Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach
  2025
• Sheaf-Based Decentralized Multimodal Learning for Next-Generation Wireless Communication Systems
  2025
• Distributionally Robust Federated Learning with Client Drift Minimization
  2025
• Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
  2025
• Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
  2020
• Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent
  2021
• Federated Distributionally Robust Optimization for Phase Configuration of RISs
  2021
• Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning
  2023
• Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
  2024
• A Web-Based Solution for Federated Learning with LLM-Based Automation
  2024
• MIRA: A Method of Federated MultI-Task Learning for LaRge LAnguage Models
  2024