A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and …
A Majeed, SO Hwang - IEEE Access, 2024 - ieeexplore.ieee.org
Federated learning (FL) is considered a de facto standard for privacy preservation in AI
environments because it does not require data to be aggregated in some central place to …
environments because it does not require data to be aggregated in some central place to …
A Dual-functional Blockchain Framework for Solving Distributed Optimization
Proof of Work (PoW) has been extensively utilized as the foundation of blockchain's security,
consistency, and tamper-resistance. However, long has it been criticized for its tremendous …
consistency, and tamper-resistance. However, long has it been criticized for its tremendous …