Federated and Edge Machine Learning

INDJCST | Federated and Edge Machine Learning

📘Indian Journal of Computer Science and Technology (INDJCST)

The Indian Journal of Computer Science and Technology (INDJCST) (e-ISSN: 2583-5300) is a reputed, open-access academic journal publishing innovative research in Computer Science and Technology. Issued three times a year, INDJCST ensures research visibility through UGC-CARE compliance and rigorous peer review, making it one of the best Computer Science journals worldwide.

🌐Focus on Federated and Edge Machine Learning

With the proliferation of IoT and real-time analytics, Federated and Edge Machine Learning is reshaping decentralized AI systems. Federated learning trains models across distributed devices without needing central data storage, protecting privacy and reducing latency. Edge machine learning pushes computation closer to devices, enabling instant decision-making at the data source such as smartphones, drones, and sensors.

These methods directly influence applications in healthcare, smart cities, autonomous driving, cybersecurity, and telecommunications. Publishing your work on Federated and Edge Machine Learning in INDJCST ensures placement within one of the best Computer Science journals, recognized for strong ethics and impact beyond academia.

🚀Why Choose INDJCST?

  • ⚡ Rapid Peer Review: Rigorous editorial review completed within 3 days.
  • 🌍 Open Access: Federated and Edge Machine Learning research instantly available to global readers.
  • 🔄 Streamlined Workflow: Submission through a fast, user-friendly editorial system.
  • 🛡️ Plagiarism Screening: Maintains scholarly integrity for all publications.
  • ✅ COPE Compliance: Journal policies fully aligned with COPE’s ethics framework.
  • 📈 Impact Beyond Academia: Research shaping policies, industries, and technological applications globally.

📊Indexing & Abstracting

INDJCST is indexed in vital research repositories such as Google Scholar, Semantic Scholar, Elsevier Mendeley, Dimensions, SSRN, WorldCAT, ResearchBIB, ExLibris, and PLumX. This ensures global reach for works published on cutting-edge themes like Federated and Edge Machine Learning, strengthening its reputation among the best Computer Science journals.

📝Streamlined Publication Process

  • ⏰ Step 1: Online submission open 24/7
  • 💬 Step 2: Acknowledgment received within 12 hours
  • 🔬 Step 3: Expert double-blind peer review within 2 days
  • 📩 Step 4: Editorial acceptance/rejection in 3 days
  • 📄 Step 5: Online publication with instant certificate

💰Article Processing Charges

  • 🇮🇳 Indian Authors: Without DOI – 1200 INR + GST | With DOI – 1400 INR + GST
  • 🌎 International Authors: With DOI – 60 USD

⚙️Advanced Editorial Management

Authors gain secure dashboard access with real-time manuscript tracking, automated documentation, and one-click download of certificates and published papers. INDJCST’s editorial management ensures transparency, speed, and ease of use for all contributors.

🔍Why INDJCST is Among the Best Computer Science Journals

By prioritizing areas like Federated and Edge Machine Learning, INDJCST supports research innovation that directly applies to real-world technologies. Its wide indexing, open-access principle, and fast peer review solidify its place among the best Computer Science journals globally.