International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Enhancing Collaborative Intelligence: Synergistic Approaches for Distributed Machine Learning and Ai Collaboration in Heterogeneous Environments

Author(s) Vidya Chandgude, Priti Zambare, Kavita Mahajan
Country India
Abstract Collaborative intelligence is vital in distributed machine learning and AI collaboration, especially in heterogeneous environments. This paper explores synergistic approaches to enhance collaborative intelligence by addressing challenges in communication, privacy, resource optimization, domain adaptation, and scalability. The paper reviews existing techniques and methodologies in the field of collaborative intelligence. It discusses protocols, coordination strategies, and communication mechanisms for effective collaboration. Privacy-preserving techniques, such as federated learning and secure multi-party computation, are examined. Resource optimization techniques, including load balancing and adaptive resource allocation, are explored. Domain adaptation and transfer learning methods are also discussed.
Keywords Collaborative intelligence, Heterogeneous Environments, Distributed Machine Learning
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-29
Cite This Enhancing Collaborative Intelligence: Synergistic Approaches for Distributed Machine Learning and Ai Collaboration in Heterogeneous Environments - Vidya Chandgude, Priti Zambare, Kavita Mahajan - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.13704
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.13704
Short DOI https://doi.org/gtktjj
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com