The field of federated learning and IoT is moving towards developing more secure and trustworthy systems. Researchers are exploring innovative solutions to mitigate Byzantine attacks, ensure data integrity, and provide transparent and accountable material exchange. The integration of blockchain technology, trusted execution environments, and cryptographic techniques such as proxy re-encryption is becoming increasingly popular. These advancements aim to enhance the security and efficiency of federated learning and IoT systems, enabling reliable and private data exchange across heterogeneous environments. Noteworthy papers include:

• Sentinel, which proposes a remote attestation-based scheme to mitigate Byzantine attacks in federated learning systems.
• LiFeChain, which introduces a lightweight blockchain for secure and efficient federated lifelong learning in IoT.
• A blockchain-enabled digital marketplace for sustainable construction material reuse, which ensures transparency and traceability using InterPlanetary File System (IPFS).
• An architecture integrating private blockchain and proxy re-encryption to enable secure, traceable, and privacy-preserving data sharing in IoT-based healthcare systems.